[PDF][PDF] EARLY-STAGE PREDICTION OF MELANOMA SKIN CANCER SEGMENTATION BY U-NET

A Turukmane, M Kumar, T Geethika… - Journal of clinical …, 2023 - researchgate.net
Skin cancer, specifically MM skin cancer, is a deadly sort of skin disease in today's society.
When skin cancer is identified early, it can be treated. Due to the fast spread of skin cancer …

[PDF][PDF] U-Net and K-Means for Dermoscopic Skin Lesion Images: Segmentation and Comparison

S Oukil, R Kasmi, K Mokrani - Soft Computing and Electrical …, 2020 - paper.ieti.net
Melanoma is a very aggressive and fast-growing type of skin cancer in many countries.
Precise lesion segmentation is an essential phase of the diagnosis of melanoma in any …

Improving skin lesion segmentation with self-training

A Dzieniszewska, P Garbat, R Piramidowicz - Cancers, 2024 - mdpi.com
Simple Summary Finding the area of a skin lesion on dermoscopy images is important for
diagnosing skin conditions. The accuracy of segmentation impacts the overall diagnosis …

Deep Learning Method Used in Skin Lesions Segmentation and Classification

F Wan - 2018 - diva-portal.org
Malignant melanoma (MM) is a type of skin cancer that is associated with a very poor
prognosis and can often lead to death. Early detection is crucial in order to administer the …

Automated Prediction of Malignant Melanoma using Two-Stage Convolutional Neural Network

J Angeline, A Siva Kailash, J Karthikeyan… - Archives of …, 2024 - Springer
Purpose A skin lesion refers to an area of the skin that exhibits anomalous growth or
distinctive visual characteristics compared to the surrounding skin. Benign skin lesions are …

Melanoma segmentation using deep learning with test-time augmentations and conditional random fields

H Ashraf, A Waris, MF Ghafoor, SO Gilani, IK Niazi - Scientific Reports, 2022 - nature.com
In a computer-aided diagnostic (CAD) system for skin lesion segmentation, variations in
shape and size of the skin lesion makes the segmentation task more challenging. Lesion …

Skin cancer segmentation with the aid of multi-class dilated D-net (MD2N) framework

MD Kumar, GV Sivanarayana, D Indira… - Multimedia Tools and …, 2023 - Springer
Skin cancer is one of the world's most hazardous diseases, and identification of skin cancer
is more challenging. Recently Deep learning algorithms have evolved to produce …

A U-net based approach to epidermal tissue segmentation in whole slide histopathological images

KRJ Oskal, M Risdal, EAM Janssen, ES Undersrud… - SN Applied …, 2019 - Springer
Malignant melanoma is a severe and aggressive type of skin cancer, with a rapid decrease
in survival rate if not diagnosed and treated at an early stage. Histopathological examination …

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images

R Kaur, H GholamHosseini, R Sinha, M Lindén - BMC Medical Imaging, 2022 - Springer
Background Melanoma is the most dangerous and aggressive form among skin cancers,
exhibiting a high mortality rate worldwide. Biopsy and histopathological analysis are …

Skin lesion area segmentation using attention squeeze u-net for embedded devices

A Pennisi, DD Bloisi, V Suriani, D Nardi… - Journal of Digital …, 2022 - Springer
Melanoma is the deadliest form of skin cancer. Early diagnosis of malignant lesions is
crucial for reducing mortality. The use of deep learning techniques on dermoscopic images …