Buchumschlag

Breaking Barriers in Cancer Diagnosis: Super‐Light Compact Convolution Transformer for Colon and Lung Cancer Detection

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Ritesh Maurya, Nageshwar Nath Pandey, Mohan Karnati, Geet Sahu
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2024
Schlagworte:	International Journal of Imaging Systems and Technology
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

A Novel Deep Learning Model Based Cancerous Lung Nodules Severity Grading Framework Using CT Images
von: P. Mohan Kumar, et al.
Veröffentlicht: (2025)

Patch‐Based Oral Cancer Detection Using Vision Transformers and Quantitative Patch Scoring
von: Eranjoli Nalupurakkal Subhija, et al.
Veröffentlicht: (2026)

Enhancing Breast Cancer Diagnosis With Attention Branch Network and Thermographic Imaging
von: Sruthi Krishna, et al.
Veröffentlicht: (2025)

A Hybrid Convolutional Neural Network Model for the Classification of Multi‐Class Skin Cancer
von: Ahmet Nusret Toprak, et al.
Veröffentlicht: (2024)

Self‐Supervised Transfer Learning of Cross‐Domains Histopathological Images for Cancer Diagnosis
von: Jianbo Zhu, et al.
Veröffentlicht: (2026)

Enhancing Lung Cancer Screening With an Automated Deep Learning System: A Resource‐Efficient Approach
von: Md. Rafiqul Islam, et al.
Veröffentlicht: (2025)

Dual‐Path Multi‐Scale CNN for Precise Classification of Non‐Small Cell Lung Cancer
von: Vidhi Bishnoi, et al.
Veröffentlicht: (2025)

SuperFormer: Unet‐Like Super Token Transformer for Medical Image Segmentation
von: Wenshuai Zhang, et al.
Veröffentlicht: (2025)

M‐Net: A Skin Cancer Classification With Improved Convolutional Neural Network Based on the Enhanced Gray Wolf Optimization Algorithm
von: Zhinan Xu, et al.
Veröffentlicht: (2024)

RETRACTION: SAtUNet: Series Atrous Convolution Enhanced U‐net for Lung Nodule Segmentation
Veröffentlicht: (2026)

Infusing Weighted Average Ensemble Diversity for Advanced Breast Cancer Detection
von: Barsha Abhisheka, et al.
Veröffentlicht: (2024)

Development of an Optical Breast Cancer Diagnosis System Using Laser Speckle and Machine Learning‐Assisted Fusion of Texture Maps
von: Doaa Youssef, et al.
Veröffentlicht: (2025)

Advancing Cervical Cancer Classification Through a Fusion of CNN and Vision Transformer Models
von: Fida Hussain Dahri, et al.
Veröffentlicht: (2026)

Weakly Supervised Breast Cancer Classification on WSI Using Transformer and Graph Attention Network
von: Mingze Li, et al.
Veröffentlicht: (2024)

Federated Transfer Learning for Lung Disease Detection
von: Shrey Sumariya, et al.
Veröffentlicht: (2025)

Smart Lung Cancer Monitoring and Prediction via Optimized Feature Selection and Enhanced Deep CNNs Using Improved GoogleNet and Modified VGG19
von: Shaik Bhasha, et al.
Veröffentlicht: (2025)

ET ‐ WOFS Metaheuristic Feature Selection Based Approach for Endometrial Cancer Classification and Detection
von: Ramneek Kaur Brar, et al.
Veröffentlicht: (2025)

Enhanced Breast Cancer Detection From Thermal Images Using DNN and Explainable AI
von: Mukesh Prasanna, et al.
Veröffentlicht: (2025)

A Novel Framework for Lung Disease Classification Using Multiscale Convolutional Neural Networks With an Integrated Dynamic Attention Mechanism
von: Vivekanand Thakare, et al.
Veröffentlicht: (2025)

Predicting the Early Detection of Breast Cancer Using Hybrid Machine Learning Systems and Thermographic Imaging
von: Mohammad Mehdi Hosseini, et al.
Veröffentlicht: (2024)

Optimizing Breast Cancer Detection: Integrating Few‐Shot and Transfer Learning for Enhanced Accuracy and Efficiency
von: Nadeem Sarwar, et al.
Veröffentlicht: (2025)

Integrating VGG 19 U‐Net for Breast Thermogram Segmentation and Hybrid Enhancement With Optimized Classifier Selection: A Novel Approach to Breast Cancer Diagnosis
von: A. Arul Edwin Raj, et al.
Veröffentlicht: (2024)

Adaptive Evidential Fusion of Light–Dark Features With Multi‐Scan Mamba for Automated Macular Edema Diagnosis
von: Yiming Zhang, et al.
Veröffentlicht: (2025)

Feature Derivative‐Based Pixel Segmentation Method for Detecting Lung Tumors From CT Images
von: S. P. Kavya, et al.
Veröffentlicht: (2026)

PneumoMamba : A Novel Mamba and CNN Dual‐Path Network for Computer‐Aided Diagnosis of Pneumonia Using Omnidirectional Feature Extraction and Multi‐Scale Asymmetric Convolution
von: Meng Chen, et al.
Veröffentlicht: (2026)

A Cascade Model to Detect and Segment Lung Nodule Using YOLOv8 and Resnet50U‐Net
von: Selma Mammeri, et al.
Veröffentlicht: (2025)

Deep Fusion: A High‐Performance AI Framework for Colorectal Cancer Grading
von: Muhammed Emin Bedir, et al.
Veröffentlicht: (2026)

An Efficient Parallel Branch Network for Multi‐Class Classification of Prostate Cancer From Histopathological Images
von: Vishal Srivastava, et al.
Veröffentlicht: (2025)

Radiomic Feature‐Based Prediction of Primary Cancer Origins in Brain Metastases Using Machine Learning
von: Dilek Betül Sarıdede, et al.
Veröffentlicht: (2025)

RETRACTION: An Enhanced Framework for Identifying Brain Tumor Using Discrete Wavelet Transform, Deep Convolutional Network, and Feature Fusion‐Based Machine Learning Techniques
Veröffentlicht: (2026)

GSCCANet : Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps
von: Jun Su, et al.
Veröffentlicht: (2025)

Modified Transformer‐Based Pixel Segmentation for Breast Tumor Detection
von: Kamakshi Rautela, et al.
Veröffentlicht: (2025)

Enhancing Skin Cancer Segmentation Using Lightweight Encoder–Decoder Architecture Integrated With Fusion of Attention Blocks
von: Mehwish Zafar, et al.
Veröffentlicht: (2026)

Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting
von: Jovana Panic, et al.
Veröffentlicht: (2025)

A Joint Lightweight U‐Shaped Network for Efficient Medical Image Segmentation of Melanoma and Breast Cancer
von: Ting Ma, et al.
Veröffentlicht: (2025)

Optimize Neural Fuzzy Systems for High‐Dimensional Breast Cancer Data Analysis: A Deep Learning Approach
von: Jingjing Jin, et al.
Veröffentlicht: (2025)

Integrating Multi‐Scale Feature Boundary Module and Feature Fusion With CNN for Accurate Skin Cancer Segmentation and Classification
von: S. Malaiarasan, et al.
Veröffentlicht: (2024)

A Center‐Border Dual‐Branch Network With Dynamic Weighted Fusion for Breast Cancer Histopathology Image Classification
von: Liang Zeng, et al.
Veröffentlicht: (2026)

A Three‐Step Automated Segmentation Method for Early Cervical Cancer MRI Images Based on Deep Learning
von: Liu Xiong, et al.
Veröffentlicht: (2024)

Skin Cancer Classification in Dermoscopic Images Using Multi‐Scale Feature Map Fusion Based on Deep Learning
von: Arvind Singh Rajpoot, et al.
Veröffentlicht: (2025)