[HTML][HTML] A survey, review, and future trends of skin lesion segmentation and classification

MK Hasan, MA Ahamad, CH Yap, G Yang - Computers in Biology and …, 2023 - Elsevier
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 …

A survey of feature extraction in dermoscopy image analysis of skin cancer

C Barata, ME Celebi, JS Marques - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
Dermoscopy image analysis (DIA) is a growing field, with works being published every
week. This makes it difficult not only to keep track of all the contributions, but also for new …

[HTML][HTML] The impact of patient clinical information on automated skin cancer detection

AGC Pacheco, RA Krohling - Computers in biology and medicine, 2020 - Elsevier
Skin cancer is one of the most common types of cancer worldwide. Over the past few years,
different approaches have been proposed to deal with automated skin cancer detection …

Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review

S Pathan, KG Prabhu, PC Siddalingaswamy - … Signal Processing and …, 2018 - Elsevier
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 …

A benchmark for automatic visual classification of clinical skin disease images

X Sun, J Yang, M Sun, K Wang - … , The Netherlands, October 11-14, 2016 …, 2016 - Springer
Skin disease is one of the most common human illnesses. It pervades all cultures, occurs at
all ages, and affects between 30% and 70% of individuals, with even higher rates in at-risk …

ExAID: A multimodal explanation framework for computer-aided diagnosis of skin lesions

A Lucieri, MN Bajwa, SA Braun, MI Malik… - Computer Methods and …, 2022 - Elsevier
Background and objectives: One principal impediment in the successful deployment of
Artificial Intelligence (AI) based Computer-Aided Diagnosis (CAD) systems in everyday …

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 …

Accuracy of computer-aided diagnosis of melanoma: a meta-analysis

V Dick, C Sinz, M Mittlböck, H Kittler… - JAMA …, 2019 - jamanetwork.com
Importance The recent advances in the field of machine learning have raised expectations
that computer-aided diagnosis will become the standard for the diagnosis of melanoma …

[HTML][HTML] Ensembling EfficientNets for the classification and interpretation of histopathology images

A Kallipolitis, K Revelos, I Maglogiannis - Algorithms, 2021 - mdpi.com
The extended utilization of digitized Whole Slide Images is transforming the workflow of
traditional clinical histopathology to the digital era. The ongoing transformation has …

Computer‐assisted diagnosis techniques (dermoscopy and spectroscopy‐based) for diagnosing skin cancer in adults

L Ferrante di Ruffano, Y Takwoingi… - Cochrane Database …, 1996 - cochranelibrary.com
Background Early accurate detection of all skin cancer types is essential to guide
appropriate management and to improve morbidity and survival. Melanoma and cutaneous …