U-net and its variants for medical image segmentation: A review of theory and applications
U-net is an image segmentation technique developed primarily for image segmentation
tasks. These traits provide U-net with a high utility within the medical imaging community …
tasks. These traits provide U-net with a high utility within the medical imaging community …
[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification
Abstract The Computer-aided Diagnosis or Detection (CAD) approach for skin lesion
analysis is an emerging field of research that has the potential to alleviate the burden and …
analysis is an emerging field of research that has the potential to alleviate the burden and …
[HTML][HTML] Hybrid convolutional neural networks with SVM classifier for classification of skin cancer
D Keerthana, V Venugopal, MK Nath… - Biomedical Engineering …, 2023 - Elsevier
Background: The dermatologist widely uses digital dermoscopy for the detection of
melanoma. The accurate detection of melanoma by clinicians is subjective and further …
melanoma. The accurate detection of melanoma by clinicians is subjective and further …
Skin lesion analysis and cancer detection based on machine/deep learning techniques: A comprehensive survey
The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …
dangerous kinds of cancer. Various pathological variations in the human body can cause …
D2LFS2Net: Multi‐class skin lesion diagnosis using deep learning and variance‐controlled Marine Predator optimisation: An application for precision medicine
In computer vision applications like surveillance and remote sensing, to mention a few, deep
learning has had considerable success. Medical imaging still faces a number of difficulties …
learning has had considerable success. Medical imaging still faces a number of difficulties …
[PDF][PDF] Design a system for an approved video copyright over cloud based on biometric iris and random walk generator using watermark technique
Copyright is a tool for preventing anyone forged to copy an electronic work from another
person and claim that electronic work is referred to him. Since the identity of the person is …
person and claim that electronic work is referred to him. Since the identity of the person is …
Image segmentation metrics in skin lesion: accuracy, sensitivity, specificity, dice coefficient, Jaccard index, and Matthews correlation coefficient
AW Setiawan - 2020 International Conference on Computer …, 2020 - ieeexplore.ieee.org
One of the main problems in skin lesion detection is image segmentation. This method is
essential not only for image processing-based but also for machine learning-based skin …
essential not only for image processing-based but also for machine learning-based skin …
A technical review report on deep learning approach for skin cancer detection and segmentation
K Duggani, MK Nath - Data Analytics and Management: Proceedings of …, 2021 - Springer
Skin cancer is growth of abnormal cells, mainly caused due to exposure of ultraviolet rays
from sun. There are various types of skin cancer, among them melanoma is the most …
from sun. There are various types of skin cancer, among them melanoma is the most …
Deep learning architecture using transfer learning for classification of skin lesions
SPG Jasil, V Ulagamuthalvi - Journal of Ambient Intelligence and …, 2021 - Springer
Skin cancer is one of the most dangerous health problems in many countries the
development in automatic medical image analysis technique leads to accurate classification …
development in automatic medical image analysis technique leads to accurate classification …
Dermo-Seg: ResNet-UNet Architecture and Hybrid Loss Function for Detection of Differential Patterns to Diagnose Pigmented Skin Lesions
Convolutional neural network (CNN) models have been extensively applied to skin lesions
segmentation due to their information discrimination capabilities. However, CNNs' struggle …
segmentation due to their information discrimination capabilities. However, CNNs' struggle …