Towards Concept-based Interpretability of Skin Lesion Diagnosis using
Vision-Language Models

Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models

24 November 2023

Cristiano Patrício

Luís F. Teixeira

João C. Neves

Papers citing "Towards Concept-based Interpretability of Skin Lesion Diagnosis using Vision-Language Models"

6 / 6 papers shown

Title
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification Cristiano Patrício Isabel Rio-Torto J. S. Cardoso Luís F. Teixeira João C. Neves VLM 242 1 0 21 Jan 2025
Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis Hongmei Wang Junlin Hou Hao Chen 31 0 0 20 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks Junlin Hou Sicen Liu Yequan Bie Hongmei Wang Andong Tan Luyang Luo Hao Chen XAI 25 3 0 03 Oct 2024
Incorporating Expert Rules into Neural Networks in the Framework of Concept-Based Learning A. Konstantinov Lev V. Utkin 40 3 0 22 Feb 2024
On Interpretability of Deep Learning based Skin Lesion Classifiers using Concept Activation Vectors Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed MedIm 163 64 0 05 May 2020
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images Noel Codella Q. Nguyen Sharath Pankanti David Gutman Brian Helba Allan Halpern John R. Smith 39 527 0 14 Oct 2016