A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gao, Ziyang, Tian, Yong, Lin, Shih-Chi, Lin, Junghua
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhanced Breast Cancer Tumor Classification using MobileNetV2: A Detailed Exploration on Image Intensity, Error Mitigation, and Streamlit-driven Real-time Deployment
di: Surya, Aaditya, et al.
Pubblicazione: (2023)

Diagnostic Uncertainty in Pneumonia Detection using CNN MobileNetV2 and CNN from Scratch
di: Sudiardjo, Kennard Norbert, et al.
Pubblicazione: (2025)

Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
di: Mei, Jie, et al.
Pubblicazione: (2025)

EMeRALDS: Electronic Medical Record Driven Automated Lung Nodule Detection and Classification in Thoracic CT Images
di: Eman, Hafza, et al.
Pubblicazione: (2025)

Focus on Texture: Rethinking Pre-training in Masked Autoencoders for Medical Image Classification
di: Madan, Chetan, et al.
Pubblicazione: (2025)

Lung Cancer Classification from CT Images Using ResNet
di: Adekunle, Olajumoke O., et al.
Pubblicazione: (2025)

Masked Autoencoder Pretraining and BiXLSTM ResNet Architecture for PET/CT Tumor Segmentation
di: Mazher, Moona, et al.
Pubblicazione: (2025)

FusionLungNet: Multi-scale Fusion Convolution with Refinement Network for Lung CT Image Segmentation
di: Rezvani, Sadjad, et al.
Pubblicazione: (2024)

Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging Classification
di: Huang, Yuning, et al.
Pubblicazione: (2024)

A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation
di: Jiangtao, Wang, et al.
Pubblicazione: (2025)

Lung Nodule-SSM: Self-Supervised Lung Nodule Detection and Classification in Thoracic CT Images
di: Noreen, Muniba, et al.
Pubblicazione: (2025)

MobileNetV4 -- Universal Models for the Mobile Ecosystem
di: Qin, Danfeng, et al.
Pubblicazione: (2024)

Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
di: Ayllón, Elena Mulero, et al.
Pubblicazione: (2025)

Graph‐Based CT Image Analysis With MobileNetV2 and Ant Lion Optimization for Pancreatic Cancer Classification
di: Yusuf Alaca, et al.
Pubblicazione: (2026)

Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images
di: Shaukat, Furqan, et al.
Pubblicazione: (2024)

Optimization of Dark-Field CT for Lung Imaging
di: Guo, Peiyuan, et al.
Pubblicazione: (2024)

U-Net in Medical Image Segmentation: A Review of Its Applications Across Modalities
di: Neha, Fnu, et al.
Pubblicazione: (2024)

Self-DenseMobileNet: A Robust Framework for Lung Nodule Classification using Self-ONN and Stacking-based Meta-Classifier
di: Rahman, Md. Sohanur, et al.
Pubblicazione: (2024)

Breast Tumor Classification Using EfficientNet Deep Learning Model
di: Behzadpour, Majid, et al.
Pubblicazione: (2024)

Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
di: Sengodan, Naren
Pubblicazione: (2024)

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
di: Zhu, Guanghao, et al.
Pubblicazione: (2024)

A lightweight deep learning pipeline with DRDA-Net and MobileNet for breast cancer classification
di: Ahmadi, Mahdie, et al.
Pubblicazione: (2024)

Fibonacci-Net: A Lightweight CNN model for Automatic Brain Tumor Classification
di: Roy, Santanu, et al.
Pubblicazione: (2025)

Rethinking Transfer Learning for Medical Image Classification
di: Peng, Le, et al.
Pubblicazione: (2021)

Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
di: V, Asha, et al.
Pubblicazione: (2024)

Attention-Enhanced U-Net for Accurate Segmentation of COVID-19 Infected Lung Regions in CT Scans
di: Lahchim, Amal, et al.
Pubblicazione: (2025)

Medical Artificial Intelligence for Early Detection of Lung Cancer: A Survey
di: Cai, Guohui, et al.
Pubblicazione: (2024)

Multi-modal Evidential Fusion Network for Trustworthy PET/CT Tumor Segmentation
di: Qi, Yuxuan, et al.
Pubblicazione: (2024)

Real-time Sign Language Recognition Using MobileNetV2 and Transfer Learning
di: Jagtap, Smruti, et al.
Pubblicazione: (2024)

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning
di: Behzadpour, Majid, et al.
Pubblicazione: (2025)

Pre-trained Under Noise: A Framework for Robust Bone Fracture Detection in Medical Imaging
di: Hoover, Robby, et al.
Pubblicazione: (2025)

Self Pre-training with Adaptive Mask Autoencoders for Variable-Contrast 3D Medical Imaging
di: Das, Badhan Kumar, et al.
Pubblicazione: (2025)

MedSR-Impact: Transformer-Based Super-Resolution for Lung CT Segmentation, Radiomics, Classification, and Prognosis
di: Martell, Marc Boubnovski, et al.
Pubblicazione: (2025)

Coronary artery calcification assessment in National Lung Screening Trial CT images (DeepCAC2)
di: Nürnberg, Leonard, et al.
Pubblicazione: (2026)

TexLiverNet: Leveraging Medical Knowledge and Spatial-Frequency Perception for Enhanced Liver Tumor Segmentation
di: Jiang, Xiaoyan, et al.
Pubblicazione: (2024)

Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attention
di: Liu, Xiaoyi, et al.
Pubblicazione: (2024)

Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification
di: Hassan, Salma, et al.
Pubblicazione: (2024)

Head and Neck Tumor Segmentation of MRI from Pre- and Mid-radiotherapy with Pre-training, Data Augmentation and Dual Flow UNet
di: Wang, Litingyu, et al.
Pubblicazione: (2024)

Longitudinal Assessment of Lung Lesion Burden in CT
di: Mathai, Tejas Sudharshan, et al.
Pubblicazione: (2025)

Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors
di: Sharma, Kiran, et al.
Pubblicazione: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

Environment & details:

GET Data empty

POST Data empty

Files empty

Key	Value
ui	"standard"
language	"it"
VUFIND_SESSION	"7b5606aa30701236467c56e3477ff155"

Session

Key	Value
__Laminas	array:2 [`"_REQUEST_ACCESS_TIME" => 1790970623.8514 "_VALID" => array:1 [ "Laminas\Session\Validator\Id" => "7b5606aa30701236467c56e3477ff155" ]`]
SessionState	Laminas\Stdlib\ArrayObject {#938}
FlashMessenger	Laminas\Stdlib\ArrayObject {#1433}
SessionHelper	Laminas\Stdlib\ArrayObject {#1759}

Server/Request Data

Key	Value
REDIRECT_VUFIND_LOCAL_DIR	"/usr/local/vufind/local"
REDIRECT_HTTPS	"on"
REDIRECT_SSL_TLS_SNI	"info.umar.mx"
REDIRECT_STATUS	"200"
VUFIND_LOCAL_DIR	"/usr/local/vufind/local"
HTTPS	"on"
SSL_TLS_SNI	"info.umar.mx"
HTTP_ACCEPT	"/"
HTTP_USER_AGENT	"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)"
HTTP_COOKIE	"ui=standard; language=it; VUFIND_SESSION=7b5606aa30701236467c56e3477ff155"
HTTP_ACCEPT_ENCODING	"gzip, br, zstd, deflate"
HTTP_HOST	"info.umar.mx"
PATH	"/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/snap/bin"
SERVER_SIGNATURE	"<address>Apache/2.4.66 (Ubuntu) Server at info.umar.mx Port 443</address>\n"
SERVER_SOFTWARE	"Apache/2.4.66 (Ubuntu)"
SERVER_NAME	"info.umar.mx"
SERVER_ADDR	"200.23.222.19"
SERVER_PORT	"443"
REMOTE_ADDR	"216.73.217.142"
DOCUMENT_ROOT	"/usr/local/vufind/public"
REQUEST_SCHEME	"https"
CONTEXT_PREFIX	""
CONTEXT_DOCUMENT_ROOT	"/usr/local/vufind/public"
SERVER_ADMIN	"admin@localhost"
SCRIPT_FILENAME	"/usr/local/vufind/public/index.php"
REMOTE_PORT	"59545"
REDIRECT_URL	""" /Record/\n arxiv_https___arxiv_org_abs_2501_04996/Similar """
GATEWAY_INTERFACE	"CGI/1.1"
SERVER_PROTOCOL	"HTTP/1.1"
REQUEST_METHOD	"GET"
QUERY_STRING	""
REQUEST_URI	"/Record/%0Aarxiv_https___arxiv_org_abs_2501_04996/Similar"
SCRIPT_NAME	"/index.php"
PHP_SELF	"/index.php"
REQUEST_TIME_FLOAT	1790970623.8473
REQUEST_TIME	1790970623

Environment Variables empty

Registered Handlers

0. Whoops\Handler\PrettyPageHandler