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Bibliographic Details
Main Authors:	Chaddad, Ahmad, Wu, Yihang, Chen, Xianrui
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2602.09324
Tags:	Add Tag No Tags, Be the first to tag this record!

Deep Modeling and Optimization of Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)

Towards a Transparent and Interpretable AI Model for Medical Image Classifications
by: Wen, Binbin, et al.
Published: (2025)

Impact of domain adaptation in deep learning for medical image classifications
by: Wu, Yihang, et al.
Published: (2026)

GazeFormer-MoE: Context-Aware Gaze Estimation via CLIP and MoE Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)

FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
by: Wu, Yihang, et al.
Published: (2024)

Domain Adaptation Techniques for Natural and Medical Image Classification
by: Chaddad, Ahmad, et al.
Published: (2025)

Classification based deep learning models for lung cancer and disease using medical images
by: Chaddad, Ahmad, et al.
Published: (2025)

Federated Vision Transformer with Adaptive Focal Loss for Medical Image Classification
by: Zhao, Xinyuan, et al.
Published: (2026)

Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)

Generalizable and Explainable Deep Learning for Medical Image Computing: An Overview
by: Chaddad, Ahmad, et al.
Published: (2025)

Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)

GMGaze: MoE-Based Context-Aware Gaze Estimation with CLIP and Multiscale Transformer
by: Zhao, Xinyuan, et al.
Published: (2026)

SHAP-Integrated Convolutional Diagnostic Networks for Feature-Selective Medical Analysis
by: Hu, Yan, et al.
Published: (2025)

DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification
by: Mosalpuri, Ravi, et al.
Published: (2026)

A Quantitative Approach for Evaluating Disease Focus and Interpretability of Deep Learning Models for Alzheimer's Disease Classification
by: Tam, Thomas Yu Chow, et al.
Published: (2024)

Deep Transfer Learning for Breast Cancer Classification
by: Djagba, Prudence, et al.
Published: (2024)

Enhanced Multi-Class Classification of Gastrointestinal Endoscopic Images with Interpretable Deep Learning Model
by: Kamble, Astitva, et al.
Published: (2025)

Dynamic Neural Radiance Field From Defocused Monocular Video
by: Luo, Xianrui, et al.
Published: (2024)

Exploring the Efficacy of Group-Normalization in Deep Learning Models for Alzheimer's Disease Classification
by: Habib, Gousia, et al.
Published: (2024)

Bayesian Evidential Learning for Few-Shot Classification
by: Linghu, Xiongkun, et al.
Published: (2022)

Interpretable Aneurysm Classification via 3D Concept Bottleneck Models: Integrating Morphological and Hemodynamic Clinical Features
by: Khaled, Toqa, et al.
Published: (2026)

FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
by: Yang, Julia, et al.
Published: (2024)

Dual-Camera All-in-Focus Neural Radiance Fields
by: Luo, Xianrui, et al.
Published: (2025)

Performance Comparison of Deep Learning Techniques in Naira Classification
by: Tijjani, Ismail Ismail, et al.
Published: (2024)

Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
by: Li, Xianrui, et al.
Published: (2025)

DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry
by: Li, Jing, et al.
Published: (2025)

H-CNN-ViT: A Hierarchical Gated Attention Multi-Branch Model for Bladder Cancer Recurrence Prediction
by: Li, Xueyang, et al.
Published: (2025)

Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
by: Chen, Meixu, et al.
Published: (2024)

NMGrad: Advancing Histopathological Bladder Cancer Grading with Weakly Supervised Deep Learning
by: Fuster, Saul, et al.
Published: (2024)

Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
by: Islam, Rafiul, et al.
Published: (2025)

Vision Transformer-Based Deep Learning for Histologic Classification of Endometrial Cancer
by: Goyal, Manu, et al.
Published: (2023)

How Far Can We Compress Instant-NGP-Based NeRF?
by: Chen, Yihang, et al.
Published: (2024)

A Deep Learning Method for Classification of Biophilic Artworks
by: Kar, Purna, et al.
Published: (2024)

Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platform
by: Yu, Jinliang, et al.
Published: (2025)

Interpretable Deep Transfer Learning for Breast Ultrasound Cancer Detection: A Multi-Dataset Study
by: Abbadi, Mohammad, et al.
Published: (2025)

Dynamic Memory Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad
Published: (2025)

Resolving Representation Ambiguity in Feedforward Novel View Synthesis Transformer via Semantic-Spatial Decoupling
by: Wu, Yihang, et al.
Published: (2026)

Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
by: Nguyen, Khoa Tuan, et al.
Published: (2025)

Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task
by: Maleki, Alireza, et al.
Published: (2024)

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// 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'

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