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 …
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 …
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
Developing a computer-aided diagnostic system for detecting various skin malignancies
from images has attracted many researchers. Unlike many machine-learning approaches …
from images has attracted many researchers. Unlike many machine-learning approaches …
[PDF][PDF] Early Skin Disease Identification Using eep Neural Network.
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 …
skilled dermatologists and pathologists. Skin disease is the most common disorder triggered …
SCDet: A Robust Approach for the Detection of Skin Lesions
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 …
known as skin cancer that is categorized into two types: benign and malignant. Skin cancer …
Skin lesion classification using machine learning approach: A survey
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 …
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 …
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 …
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 …
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 …
autoimmune condition known as alopecia areata (AA) results in hair loss in the affected …