Article

Visualizing CoAtNet Predictions for Aiding Melanoma Detection

2022-05-23

Abstract excerpt

Melanoma is considered to be the most aggressive form of skin cancer. Due to the similar shape of malignant and benign cancerous lesions, doctors spend considerably more time when diagnosing these findings. At present, the evaluation of malignancy is performed primarily by invasive histological examination of the suspicious lesion. Developing an accurate classifier for early and efficient detection can minimize an...

Topics

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

Identifiers and source

Literature Corpus work: cb6d741e-b557-50e2-b6cc-b846a001490c
DOI: 10.20944/preprints202205.0302.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Visualizing CoAtNet Predictions for Aiding Melanoma DetectionDOI 10.20944/preprints202205.0302.v1Read

Melanoma Prediction Using a Deep Convolutional Neural Network (CNN) ModelSemantic proximity Read

Clinical Application of Vision Transformers for Melanoma Classification: A Multi-Dataset Evaluation StudySemantic proximity Read

Skin Cancer Detection Using Deep Learning Techniques: A ReviewSemantic proximity Read

Cancer-Net SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy ImagesSemantic proximity Read

A Melanoma-Sensitive Deep Learning Model for Multi-Class Skin Cancer Classification Using Dermoscopic ImagesSemantic proximity Read

AECNet: Advancing Skin Cancer Classification using ACGAN-Based Synthetic Data with Grad-CAM ExplainabilitySemantic proximity Read

GPT Fusion: Reasoning-Based Integration of Specialized Convolutional Neural Networks for Melanoma DiagnosisSemantic proximity Read

AI-based Skin Cancer Detection Algorithms: Opportunities, Challenges and Way ForwardSemantic proximity Read

GPT Fusion: Integrating Convolutional Neural Networks with GPT-5.5 for Melanoma DiagnosisSemantic proximity Read

Integrating Explainable AI for Skin Lesion Classifications: A Systematic Literature ReviewSemantic proximity Read

Predicting metastatic potential of primary cutaneous melanomas utilizing weakly supervised vision language modelSemantic proximity Read

A Transfer Learning Approach for Skin Cancer Classification Using Dense CNN Optimized with RAdam and CosineAnnealingSemantic proximity Read