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Cancer
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Adversarial Attacks and Defences for Skin Cancer Classification
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Leveraging Contextual Data Augmentation for Generalizable Melanoma Detection
Investigation of Applying Quantum Neural Network of Early-Stage Breast Cancer Detection
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography
Classification of Breast Tumours Based on Histopathology Images Using Deep Features and Ensemble of Gradient Boosting Methods
Enhancing Early Lung Cancer Detection on Chest Radiographs with AI-assistance: A Multi-Reader Study
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
Comparison of Deep Learning and Machine Learning Models and Frameworks for Skin Lesion Classification
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapy
Improving the diagnosis of breast cancer based on biophysical ultrasound features utilizing machine learning
A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images
Machine Learning Approaches to Predict Breast Cancer: Bangladesh Perspective
A Combined PCA-MLP Network for Early Breast Cancer Detection
Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset
New pyramidal hybrid textural and deep features based automatic skin cancer classification model: Ensemble DarkNet and textural feature extractor
Self-Supervised Deep Learning to Enhance Breast Cancer Detection on Screening Mammography
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images
Breast cancer detection using artificial intelligence techniques: A systematic literature review
Machine Learning Applications in Lung Cancer Diagnosis, Treatment and Prognosis
Mammograms Classification: A Review
Breast Cancer Detection using Histopathological Images
Domain generalization in deep learning-based mass detection in mammography: A large-scale multi-center study
EMT-NET: Efficient multitask network for computer-aided diagnosis of breast cancer
Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review
Skin Cancer Classification using Inception Network and Transfer Learning
Benchmarking of Lightweight Deep Learning Architectures for Skin Cancer Classification using ISIC 2017 Dataset
Demystifying the Transferability of Adversarial Attacks in Computer Networks
Artificial Intelligence For Breast Cancer Detection: Trends & Directions
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification
Mass Segmentation in Automated 3-D Breast Ultrasound Using Dual-Path U-net
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