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Cancer
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation
Integrating Complexity and Biological Realism: High-Performance Spiking Neural Networks for Breast Cancer Detection
Investigating Quantum Feature Maps in Quantum Support Vector Machines for Lung Cancer Classification
Deep Learning-Based Breast Cancer Detection in Mammography: A Multi-Center Validation Study in Thai Population
Optimizing Deep Learning for Skin Cancer Classification: A Computationally Efficient CNN with Minimal Accuracy Trade-Off
Deep Learning for Breast Cancer Detection: Comparative Analysis of ConvNeXT and EfficientNet
An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images
GuidedMorph: Two-Stage Deformable Registration for Breast MRI
DCSNet: A Lightweight Knowledge Distillation-Based Model with Explainable AI for Lung Cancer Diagnosis from Histopathological Images
Explainability Through Human-Centric Design for XAI in Lung Cancer Detection
Vision-Language Model-Based Semantic-Guided Imaging Biomarker for Early Lung Cancer Detection
Deep Multi-modal Breast Cancer Detection Network
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study
Diffusion models applied to skin and oral cancer classification
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection
Adaptive Deep Learning for Multiclass Breast Cancer Classification via Misprediction Risk Analysis
Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection
Tool or Tutor? Experimental evidence from AI deployment in cancer diagnosis
Exploring Patient Data Requirements in Training Effective AI Models for MRI-based Breast Cancer Classification
Detecting and Monitoring Bias for Subgroups in Breast Cancer Detection AI
Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
Advanced Lung Nodule Segmentation and Classification for Early Detection of Lung Cancer using SAM and Transfer Learning
Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images
QTSeg: A Query Token-Based Architecture for Efficient 2D Medical Image Segmentation
Analysis of Transferred Pre-Trained Deep Convolution Neural Networks in Breast Masses Recognition
Evaluation of radiomic feature harmonization techniques for benign and malignant pulmonary nodules
Refining Focus in AI for Lung Cancer: Comparing Lesion-Centric and Chest-Region Models with Performance Insights from Internal and External Validation
Deep BI-RADS Network for Improved Cancer Detection from Mammograms
Effect sizes as a statistical feature-selector-based learning to detect breast cancer
Cancer-Net SCa-Synth: An Open Access Synthetically Generated 2D Skin Lesion Dataset for Skin Cancer Classification
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning
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