SNC_Net: skin cancer detection by integrating handcrafted and deep learning-based features using dermoscopy images

A Naeem, T Anees, M Khalil, K Zahra, RA Naqvi… - Mathematics, 2024 - mdpi.com
The medical sciences are facing a major problem with the auto-detection of disease due to
the fast growth in population density. Intelligent systems assist medical professionals in early …

The future of skin cancer diagnosis: a comprehensive systematic literature review of machine learning and deep learning models

S Adamu, H Alhussian, N Aziz, SJ Abdulkadir… - Cogent …, 2024 - Taylor & Francis
Skin cancer, a life-threatening disease, necessitates early detection and accurate
classification for successful treatment. Misdiagnoses can lead to significant consequences …

DDCNN-F: double decker convolutional neural network'F'feature fusion as a medical image classification framework

N Veeramani, P Jayaraman, R Krishankumar… - Scientific Reports, 2024 - nature.com
Melanoma is a severe skin cancer that involves abnormal cell development. This study aims
to provide a new feature fusion framework for melanoma classification that includes a novel …

Detection of melanoma with hybrid learning method by removing hair from dermoscopic images using image processing techniques and wavelet transform

Ç Suiçmez, HT Kahraman, A Suiçmez, C Yılmaz… - … Signal Processing and …, 2023 - Elsevier
Melanoma is one of the most dangerous types of skin cancer. Detecting melanoma is
complicated and takes too much time, which doctors and healthcare professionals …

Early‐Stage Melanoma Cancer Diagnosis Framework for Imbalanced Data From Dermoscopic Images

AR Khan, M Mujahid, FS Alamri… - Microscopy Research …, 2024 - Wiley Online Library
Skin problems are a serious condition that affects people all over the world. Prolonged
exposure to ultraviolet rays' damages melanocyte cells, leading to the uncontrolled …

Improved classification of histopathological images with feature fusion of Thepade SBTC and Sauvola thresholding using machine learning

SD Thepade, MSD Patil - International Journal of …, 2025 - inderscienceonline.com
Histopathological images play a significant role in selecting effective therapeutics and
identifying disorders like cancer. Digital histopathology is a crucial advancement in …

Classification of Botulinum Toxin Dosage for Upper Facial Wrinkles Using Inception-V3 Based on Grey Level Co-Occurrence Matrix Feature

A Wahyuni, Z Zainuddin… - 2024 8th International …, 2024 - ieeexplore.ieee.org
The human skin consists of several ectodermal layers, with the outermost layer acting as a
protective barrier against environmental factors. While BOTOX injections effectively reduce …

[PDF][PDF] De-Noising of Dermoscopic Images for Automatic Skin Cancer Detection Using Digital Image Processing J

RC Bandi, A Kamalakumari… - Journal of Data Acquisition …, 2023 - researchgate.net
Nowadays, skin cancer is one of the unrestrictive spreading diseases. Melanoma skin
cancer has the maximum fatality rate in contrast with other variety of cancers. Detection of …

[CITAAT][C] Generalizing Melanoma Skin Cancer Detection with Feature Fusion of DenseNet121 and Thepade Sorted Block Truncation Coding

SD Thepade… - International Journal of …, 2023 - University of Bahrain