Skin lesion classification based on deep convolutional neural networks architectures

J Saeed, S Zeebaree - Journal of Applied Science and Technology Trends, 2021 - jastt.org
Skin cancer is among the primary cancer types that manifest due to various dermatological
disorders, which may be further classified into several types based on morphological …

Skin lesion detection using hand-crafted and DL-based features fusion and LSTM

R Mahum, S Aladhadh - Diagnostics, 2022 - mdpi.com
The abnormal growth of cells in the skin causes two types of tumor: benign and malignant.
Various methods, such as imaging and biopsies, are used by oncologists to assess the …

Automatically diagnosing skin cancers from multimodality images using two-stage genetic programming

QU Ain, H Al-Sahaf, B Xue… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Developing a computer-aided diagnostic system for detecting various skin malignancies
from images has attracted many researchers. Unlike many machine-learning approaches …

[PDF][PDF] Early Skin Disease Identification Using eep Neural Network.

V Gautam, NK Trivedi, A Anand, R Tiwari… - Comput. Syst. Sci …, 2023 - researchgate.net
Skin lesions detection and classification is a prominent issue and difficult even for extremely
skilled dermatologists and pathologists. Skin disease is the most common disorder triggered …

SCDet: A Robust Approach for the Detection of Skin Lesions

S Sikandar, R Mahum, AE Ragab, SY Yayilgan… - Diagnostics, 2023 - mdpi.com
Red, blue, white, pink, or black spots with irregular borders and small lesions on the skin are
known as skin cancer that is categorized into two types: benign and malignant. Skin cancer …

Skin lesion classification using machine learning approach: A survey

A Afroz, R Zia, AO Garcia, MU Khan… - … on wireless and …, 2022 - ieeexplore.ieee.org
Study of skin disease images through human effort, for detection of skin cancer, has always
been a very difficult task. Distinguishing and manually analyzing skin lesions for detection of …

Skin cancer classification using improved transfer learning model‐based random forest classifier and golden search optimization

AM Vidhyalakshmi, M Kanchana - International Journal of …, 2024 - Wiley Online Library
The two complex skin cancer type is melanoma and non‐melanoma. However, the
classification of skin cancer is not performed accurately due to the requirement of a huge …

[PDF][PDF] A comprehensive review on skin cancer detection strategies using deep neural networks

AS Reddy, MP Gopinath - J. Comput. Sci, 2022 - researchgate.net
Skin cancer is a deadly malignancy. Incomplete DNA repair in skin cells causes hereditary
mutations and cancer. Early skin cancer is easier to treat since it spreads slowly to other …

Detection and classification of human stool using deep convolutional neural networks

YP Choy, G Hu, J Chen - IEEE Access, 2021 - ieeexplore.ieee.org
The diagnosis of functional gastrointestinal disorders and chronic digestive system diseases
such as irritable bowel syndrome relies heavily on macroscopic examination of human stool …

An analysis of Alopecia Areata classification framework for human hair loss Based on VGG-SVM Approach

S Sayyad, D Midhunchakkaravarthy… - Journal of …, 2022 - pnrjournal.com
Artificial intelligence approach is used in this article to make a diagnosis of hair loss. An
autoimmune condition known as alopecia areata (AA) results in hair loss in the affected …