A multi-feature fusion framework for automatic skin cancer diagnostics

S Bakheet, S Alsubai, A El-Nagar, A Alqahtani - Diagnostics, 2023 - mdpi.com
Malignant melanoma is the most invasive skin cancer and is currently regarded as one of
the deadliest disorders; however, it can be cured more successfully if detected and treated …

[PDF][PDF] A lightweight approach for skin lesion detection through optimal features fusion

K Manzoor, F Majeed, A Siddique, T Meraj… - Comput Mater …, 2022 - researchgate.net
Skin diseases effectively influence all parts of life. Early and accurate detection of skin
cancer is necessary to avoid significant loss. The manual detection of skin diseases by …

Using transfer learning and hierarchical classifier to diagnose melanoma from dermoscopic images

P Bansal, S Kumar, R Srivastava… - International Journal of …, 2021 - igi-global.com
The deadliest form of skin cancer is melanoma, and if detected in time, it is curable.
Detection of melanoma using biopsy is a painful and time-consuming task. Alternate means …

Computer-aided Diagnosis and Analysis of Skin Cancer from Dermoscopic Images in India

KK Brar, OJ Shiney - Current Medical Imaging, 2024 - benthamdirect.com
Background Researchers have made several advancements in this field, including
automatic segmentation techniques, computer-aided diagnosis, mobile-based technology …

Shape and color feature based melanoma diagnosis using dermoscopic images

T Sreelatha, MV Subramanyam… - Journal of Ambient …, 2021 - Springer
In this paper, an essential system to identify the melanoma in skin at an early stage is
proposed. Skin Cancer (SC) is one of the deadliest disease and its morality rates is very …

Classification of melanoma from dermoscopic images using machine learning

S Gulati, RK Bhogal - … Computing and Applications: Proceedings of the …, 2020 - Springer
Malignant melanoma is one of the most vigorous and life-threatening forms of skin cancer.
Mortality rates of melanoma are quite high because it can easily proliferate to other parts of …

A mobile application for early detection of melanoma by image processing algorithms

SM Alizadeh, A Mahloojifar - 2018 25th National and 3rd …, 2018 - ieeexplore.ieee.org
Melanoma is the most dangerous skin cancer which causes many deaths annually.
However, early detection can help treat it. For accurate detection of melanoma …

Skin cancer detection using machine learning classification models

P Natha, R POTHURAJU - 2023 - preprints.org
In recent years, computer-aided analysis techniques have emerged as valuable tools in
assisting dermatologists by providing objective and efficient analysis of skin cancer images …

Efficient Feature Based Melanoma Skin Image Classification Using Machine Learning Approaches.

MS Pitchiah, T Rajamanickam - Traitement du Signal, 2022 - search.ebscohost.com
Skin cancer is the most prevalent and deadliest kind of cancer. Melanoma is the most
dangerous type of skin cancer, but it can be detected earlier and successfully treated. The …

Serving the dermatologists: skin diseases detection

S Gulati, RK Bhogal - Information and Communication Technology for …, 2019 - Springer
Skin diseases are one of the most common diseases found among the humans that have
adverse effect on them, whether it is a small bump, which might lead to bothersome or a …