Back to search

Article

Explainable AI for Skin Disease Classification Using Grad-CAM and Transfer Learning to Identify Contours

2024-08-01

Abstract excerpt

This research evaluates the feasibility of addressing computer vision problems with limited resources, particularly in the context of medical data where patient privacy concerns restrict data availability. (1) Background: The study focuses on diagnosing skin diseases using five distinct transfer learning models based on convolutional neural networks. Two versions of the dataset were created, one imbalanced (4092 s...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a6f35714-0819-513d-b2e7-7afd7c28bade
DOI
10.20944/preprints202407.2556.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Explainable AI for Skin Disease Classification Using Grad-CAM and Transfer Learning to Identify ContoursDOI 10.20944/preprints202407.2556.v1
Select a neighboring publication to make it the new centre.