Cover Image

Peritumoral Expansion Radiomics for Improved Lung Cancer Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Tushar, Fakrul Islam
Format:	Preprint
Published:	2024
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
by: Tushar, Fakrul Islam
Published: (2024)

DiffSegLung: Diffusion Radiomic Distillation for Unsupervised Lung Pathology Segmentation
by: Khiati, Rezkellah Noureddine, et al.
Published: (2026)

Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer Classification
by: Moin, Mukaffi Bin, et al.
Published: (2024)

Adaptive Fusion of Radiomics and Deep Features for Lung Adenocarcinoma Subtype Recognition
by: Zhou, Jing, et al.
Published: (2023)

Reproducible Benchmarking for Lung Nodule Detection and Malignancy Classification Across Multiple Low-Dose CT Datasets
by: Tushar, Fakrul Islam, et al.
Published: (2024)

Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
by: Pal, Surochita, et al.
Published: (2025)

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

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging
by: Wang, Xiawei, et al.
Published: (2024)

XCAT-3.0: A Comprehensive Library of Personalized Digital Twins Derived from CT Scans
by: Dahal, Lavsen, et al.
Published: (2024)

From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection
by: Deng, Zengtian, et al.
Published: (2026)

Deep Radiomics Detection of Clinically Significant Prostate Cancer on Multicenter MRI: Initial Comparison to PI-RADS Assessment
by: Nketiah, G. A., et al.
Published: (2024)

RadHop-Net: A Lightweight Radiomics-to-Error Regression for False Positive Reduction In MRI Prostate Cancer Detection
by: Magoulianitis, Vasileios, et al.
Published: (2025)

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)

AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction
by: Khademi, Sadaf, et al.
Published: (2025)

Improved Focus on Hard Samples for Lung Nodule Detection
by: Chen, Yujiang, et al.
Published: (2024)

Unraveling Radiomics Complexity: Strategies for Optimal Simplicity in Predictive Modeling
by: Loutfi, Mahdi Ait Lhaj, et al.
Published: (2024)

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques
by: Hong, Ziliang, et al.
Published: (2024)

Integrating Radiomics with Deep Learning Enhances Multiple Sclerosis Lesion Delineation
by: Alsahanova, Nadezhda, et al.
Published: (2025)

Survival Prediction in Lung Cancer through Multi-Modal Representation Learning
by: Farooq, Aiman, et al.
Published: (2024)

A Lung Nodule Dataset with Histopathology-based Cancer Type Annotation
by: Jian, Muwei, et al.
Published: (2024)

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

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

Developing a Dual-Stage Vision Transformer Model for Lung Disease Classification
by: Mazumder, Anirudh, et al.
Published: (2024)

Advanced Deep Learning Techniques for Accurate Lung Cancer Detection and Classification
by: Abumohsen, Mobarak, et al.
Published: (2025)

ImmunoDiff: A Diffusion Model for Immunotherapy Response Prediction in Lung Cancer
by: Bhattacharya, Moinak, et al.
Published: (2025)

CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns
by: Al-Rubaian, Arwa, et al.
Published: (2025)

Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
by: Lin, Ching-Kai, et al.
Published: (2024)

Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images
by: Wang, Fangyijie, et al.
Published: (2025)

MRANet: A Modified Residual Attention Networks for Lung and Colon Cancer Classification
by: Bala, Diponkor, et al.
Published: (2024)

RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features
by: Na, Inye, et al.
Published: (2024)

Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI
by: Kim, Jonghun, et al.
Published: (2024)

A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
by: Zhong, Jiachen, et al.
Published: (2025)

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

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

Attention-Map Augmentation for Hypercomplex Breast Cancer Classification
by: Lopez, Eleonora, et al.
Published: (2023)

Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble
by: Capellán-Martín, Daniel, et al.
Published: (2025)

InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
by: Miah, Md. Asiful Islam, et al.
Published: (2024)

Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases
by: Peoples, Jacob J., et al.
Published: (2025)

Patch Stitching Data Augmentation for Cancer Classification in Pathology Images
by: Wang, Jiamu, et al.
Published: (2025)

GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
by: Golhar, Mayank, et al.
Published: (2022)