Machine learning and deep learning methods for skin lesion classification and diagnosis: a systematic review
Computer-aided systems for skin lesion diagnosis is a growing area of research. Recently,
researchers have shown an increasing interest in developing computer-aided diagnosis …
researchers have shown an increasing interest in developing computer-aided diagnosis …
[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 …
Region-of-interest based transfer learning assisted framework for skin cancer detection
Melanoma is considered the most serious type of skin cancer. All over the world, the
mortality rate is much high for melanoma in contrast with other cancer. There are various …
mortality rate is much high for melanoma in contrast with other cancer. There are various …
A mutual bootstrapping model for automated skin lesion segmentation and classification
Automated skin lesion segmentation and classification are two most essential and related
tasks in the computer-aided diagnosis of skin cancer. Despite their prevalence, deep …
tasks in the computer-aided diagnosis of skin cancer. Despite their prevalence, deep …
Melanoma detection by analysis of clinical images using convolutional neural network
Melanoma, most threatening type of skin cancer, is on the rise. In this paper an
implementation of a deep-learning system on a computer server, equipped with graphic …
implementation of a deep-learning system on a computer server, equipped with graphic …
Classification of melanoma and nevus in digital images for diagnosis of skin cancer
Melanoma is considered a fatal type of skin cancer. However, it is sometimes hard to
distinguish it from nevus due to their identical visual appearance and symptoms. The …
distinguish it from nevus due to their identical visual appearance and symptoms. The …
Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …
benefit, as it provides significant information about the lesion, which can be of pertinence for …
Deep clustering via center-oriented margin free-triplet loss for skin lesion detection in highly imbalanced datasets
Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate
when diagnosed at early stages. Learning-based methods hold significant promise for the …
when diagnosed at early stages. Learning-based methods hold significant promise for the …
Computational methods for pigmented skin lesion classification in images: review and future trends
RB Oliveira, JP Papa, AS Pereira… - Neural Computing and …, 2018 - Springer
Skin cancer is considered as one of the most common types of cancer in several countries,
and its incidence rate has increased in recent years. Melanoma cases have caused an …
and its incidence rate has increased in recent years. Melanoma cases have caused an …
Social group optimization supported segmentation and evaluation of skin melanoma images
The segmentation of medical images by computational methods has been claimed by the
medical community, which has promoted the development of several algorithms regarding …
medical community, which has promoted the development of several algorithms regarding …