[HTML][HTML] Hybrid Deep Learning Framework for Melanoma Diagnosis Using Dermoscopic Medical Images

M Mateen, S Hayat, F Arshad, YH Gu, MA Al-Antari - Diagnostics, 2024 - mdpi.com
Background: Melanoma, or skin cancer, is a dangerous form of cancer that is the major
cause of the demise of thousands of people around the world. Methods: In recent years …

MicroSeg: Multi-scale fusion learning for microaneurysms segmentation

Y Wu, G Jiao - Biomedical Signal Processing and Control, 2024 - Elsevier
Microaneurysms (MAs) are the initial clinical signs of diabetic retinopathy (DR), which is
crucial for the early prevention and treatment of DR. However, detecting MAs in fundus …

[HTML][HTML] Mamba-and ResNet-Based Dual-Branch Network for Ultrasound Thyroid Nodule Segmentation

M Hu, Y Zhang, H Xue, H Lv, S Han - Bioengineering, 2024 - mdpi.com
Accurate segmentation of thyroid nodules in ultrasound images is crucial for the diagnosis of
thyroid cancer and preoperative planning. However, the segmentation of thyroid nodules is …

[PDF][PDF] Skin Cancer Classification Using Premature Convergence Strategy-based Artificial Jelly Search Optimization with Convolutional Neural Network.

U Thirugnanam, N Joseph - … Journal of Intelligent Engineering & Systems, 2024 - inass.org
Melanoma, the deadliest type of skin cancer in humans, poses significant challenges while
diagnosing skin lesions through thermoscopic imaging. These challenges include issues …

Deep Learning-based Multi-Modal Fusion Method for Skin Lesion Classification

P Tang - 2024 - mediatum.ub.tum.de
In this dissertation, we fill this gap by investigating the use of multi-modal deep learning
methods in skin lesion classification. We investigate various multi-modal scenarios for skin …

Unifying Segmentation and Classification in Skin Disease Diagnosis: U-Net & CNN Hybrid Approach

SS Babu, TRD Kumar, M Kanna - 2024 7th International …, 2024 - ieeexplore.ieee.org
Skin-related conditions are a common global health concern. Depression and physical
health issues are both brought on by the hidden risks of infections. Furthermore, in extreme …