Back to search

Article

Automated Skin Disease Classification Using Fine-Tuned MobileNetV2 Implemented with TensorFlow and Keras

2025-11-21

Abstract excerpt

Skin diseases are among the most widespread and visually diverse medical conditions worldwide, affecting millions of people annually. Accurate diagnosis of dermatological disorders often requires access to experienced dermatologists and specialized imaging tools. However, such resources are limited in many regions, leading to delayed or incorrect diagnosis. This paper presents a deep learning–based automated frame...

Topics

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

Identifiers and source

Literature Corpus work
1985cbd7-8192-5974-9dce-15c45854f37d
DOI
10.20944/preprints202511.1676.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.
Automated Skin Disease Classification Using Fine-Tuned MobileNetV2 Implemented with TensorFlow and KerasDOI 10.20944/preprints202511.1676.v1
Select a neighboring publication to make it the new centre.