:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Varnousfaderani, Elaheh Sabziyan, Shihab, Syed A. M., King, Jonathan
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	https://arxiv.org/abs/2602.07019
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Sensor Deep Learning for Glacier Mapping
by: Diaconu, Codruţ-Andrei, et al.
Published: (2024)

DSVTLA: Deep Swin Vision Transformer-Based Transfer Learning Architecture for Multi-Type Cancer Histopathological Cancer Image Classification
by: Khan, Muazzem Hussain, et al.
Published: (2026)

Clutter Classification Using Deep Learning in Multiple Stages
by: Dempsey, Ryan, et al.
Published: (2024)

Fusion-Based Brain Tumor Classification Using Deep Learning and Explainable AI, and Rule-Based Reasoning
by: Filvantorkaman, Melika, et al.
Published: (2025)

TBConvL-Net: A Hybrid Deep Learning Architecture for Robust Medical Image Segmentation
by: Iqbal, Shahzaib, et al.
Published: (2024)

Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)
by: Hamad, Qusay Shihab, et al.
Published: (2024)

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework
by: Afshin, Pouya, et al.
Published: (2025)

Whole Slide Image Classification of Salivary Gland Tumours
by: Charlton, John, et al.
Published: (2024)

Deep Learning Segmentation and Classification of Red Blood Cells Using a Large Multi-Scanner Dataset
by: Elmanna, Mohamed, et al.
Published: (2024)

MSRANetV2: An Explainable Deep Learning Architecture for Multi-class Classification of Colorectal Histopathological Images
by: Sarkar, Ovi, et al.
Published: (2025)

Segmentation of Pediatric Brain Tumors using a Radiologically informed, Deep Learning Cascade
by: Mulvany, Timothy, et al.
Published: (2024)

Deep Learning Based Estimation of Blood Glucose Levels from Multidirectional Scleral Blood Vessel Imaging
by: Khan, Muhammad Ahmed, et al.
Published: (2026)

Analysis of Transferred Pre-Trained Deep Convolution Neural Networks in Breast Masses Recognition
by: Hamad, Qusay Shihab, et al.
Published: (2024)

Sensing for Space Safety and Sustainability: A Deep Learning Approach with Vision Transformers
by: Zhang, Wenxuan, et al.
Published: (2024)

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

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
by: Lei, Yiming, et al.
Published: (2025)

Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis
by: Xu, Yesheng, et al.
Published: (2020)

Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer
by: Shaik, Abdul Samad, et al.
Published: (2025)

Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification
by: Prochii, Rinat, et al.
Published: (2025)

Attention-Enhanced Deep Learning Ensemble for Breast Density Classification in Mammography
by: Sharifian, Peyman, et al.
Published: (2025)

Deep Learning for In-Orbit Cloud Segmentation and Classification in Hyperspectral Satellite Data
by: Kovac, Daniel, et al.
Published: (2024)

Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
by: Hudler, Michael, et al.
Published: (2026)

Biomedical Image Segmentation: A Systematic Literature Review of Deep Learning Based Object Detection Methods
by: Wahid, Fazli, et al.
Published: (2024)

DeepSPV: A Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
by: Yuan, Zhen, et al.
Published: (2024)

Efficient Feature Extraction Using Light-Weight CNN Attention-Based Deep Learning Architectures for Ultrasound Fetal Plane Classification
by: Sivasubramanian, Arrun, et al.
Published: (2024)

Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
by: Eskandari, Sania, et al.
Published: (2024)

LeDNet: Localization-enabled Deep Neural Network for Multi-Label Radiography Image Classification
by: Pant, Lalit, et al.
Published: (2024)

Arthroscopic Multi-Spectral Scene Segmentation Using Deep Learning
by: Ali, Shahnewaz, et al.
Published: (2021)

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

Advanced Multi-Architecture Deep Learning Framework for BIRADS-Based Mammographic Image Retrieval: Comprehensive Performance Analysis with Super-Ensemble Optimization
by: Rahman, MD Shaikh, et al.
Published: (2025)

Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment Prediction
by: H, Manoj S, et al.
Published: (2024)

Coronary Artery Disease Classification with Different Lesion Degree Ranges based on Deep Learning
by: Jiménez-Partinen, Ariadna, et al.
Published: (2024)

Vision-Language Model Based Multi-Expert Fusion for CT Image Classification
by: Bai, Jianfa, et al.
Published: (2026)

Transforming Blood Cell Detection and Classification with Advanced Deep Learning Models: A Comparative Study
by: Choudhary, Shilpa, et al.
Published: (2024)

A Novel Preprocessing Unit for Effective Deep Learning based Classification and Grading of Diabetic Retinopathy
by: Nage, Pranoti, et al.
Published: (2025)

Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification
by: Hussain, Sadam, et al.
Published: (2024)

MIL vs. Aggregation: Evaluating Patient-Level Survival Prediction Strategies Using Graph-Based Learning
by: Verdelho, M Rita, et al.
Published: (2025)

Systematic Review of Pituitary Gland and Pituitary Adenoma Automatic Segmentation Techniques in Magnetic Resonance Imaging
by: Yakubu, Mubaraq, et al.
Published: (2025)

Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
by: Abbasniya, Mohammad Reza, et al.
Published: (2022)

Artificial Intelligence-Based Classification of Spitz Tumors
by: Lucassen, Ruben T., et al.
Published: (2025)