Lesion Classification
49 papers with code • 2 benchmarks • 7 datasets
HAM10000
ISIC 2018 Task 1
ISIC 2017 Task 1
MSK
BCN_20000
Retinal-Lesions
ISIC 2017 Task 2
Latest papers
Learn From Zoom: Decoupled Supervised Contrastive Learning For WCE Image Classification
qiukunpeng/dscl
•
•
Accurate lesion classification in Wireless Capsule Endoscopy (WCE) images is vital for early diagnosis and treatment of gastrointestinal (GI) cancers.
Only Positive Cases: 5-fold High-order Attention Interaction Model for Skin Segmentation Derived Classification
In this paper, we propose a multiple high-order attention interaction model (MHA-UNet) for use in a highly explainable skin lesion segmentation task.
Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models
cristianopatricio/concept-based-interpretability-vlm
•
•
Concept-based models naturally lend themselves to the development of inherently interpretable skin lesion diagnosis, as medical experts make decisions based on a set of visual patterns of the lesion.
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification
The clinical diagnosis of skin lesion involves the analysis of dermoscopic and clinical modalities.
Post-Deployment Adaptation with Access to Source Data via Federated Learning and Source-Target Remote Gradient Alignment
This paper challenges this assumption and introduces FedPDA, a novel adaptation framework that brings the utility of learning from remote data from Federated Learning into PDA.
Revisiting Skin Tone Fairness in Dermatological Lesion Classification
tkalbl/revisitingskintonefairness
•
•
Addressing fairness in lesion classification from dermatological images is crucial due to variations in how skin diseases manifest across skin tones.
SkinDistilViT: Lightweight Vision Transformer for Skin Lesion Classification
longman-stan/skindistilvit
•
•
By adding classification heads at each level of the transformer and employing a cascading distillation process, we improve the balanced multi-class accuracy of the base model by 2. 1%, while creating a range of models of various sizes but comparable performance.
ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification
zylbuaa/ecl
•
•
In this paper, we propose class-Enhancement Contrastive Learning (ECL), which enriches the information of minority classes and treats different classes equally.
DualAttNet: Synergistic Fusion of Image-level and Fine-Grained Disease Attention for Multi-Label Lesion Detection in Chest X-rays
However, such networks are difficult to focus on lesion regions in chest X-rays due to their high resemblance in vision.
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition
Representational transfer from publicly available models is a promising technique for improving medical image classification, especially in long-tailed datasets with rare diseases.
