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Over the last decades, the incidence of skin cancer, melanoma and non-melanoma, has increased at a continuous rate. In particular for melanoma, the deadliest type of skin cancer, early detection is important to increase patient prognosis.…

Image and Video Processing · Electrical Eng. & Systems 2021-04-30 Breno Krohling , Pedro B. C. Castro , Andre G. C. Pacheco , Renato A. Krohling

We investigate the design of an entire mobile imaging system for early detection of melanoma. Different from previous work, we focus on smartphone-captured visible light images. Our design addresses two major challenges. First, images…

Computer Vision and Pattern Recognition · Computer Science 2018-02-27 T. -T. Do , T. Hoang , V. Pomponiu , Y. Zhou , Z. Chen , N. -M. Cheung , D. Koh , A. Tan , S. -H. Tan

Melanoma diagnosed and treated in its early stages can increase the survival rate. A projected increase in skin cancer incidents and a dearth of dermatopathologists have emphasized the need for computational pathology (CPATH) systems. CPATH…

Image and Video Processing · Electrical Eng. & Systems 2023-11-07 Neel Kanwal , Roger Amundsen , Helga Hardardottir , Luca Tomasetti , Erling Sandoy Undersrud , Emiel A. M. Janssen , Kjersti Engan

Melanoma is the most lethal form of skin cancer, with an increasing incidence rate worldwide. Analyzing histological images of melanoma by localizing and classifying tissues and cell nuclei is considered the gold standard method for…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Nima Torbati , Anastasia Meshcheryakova , Ramona Woitek , Sepideh Hatamikia , Diana Mechtcheriakova , Amirreza Mahbod

Our goal is to bridge human and machine intelligence in melanoma detection. We develop a classification system exploiting a combination of visual pre-processing, deep learning, and ensembling for providing explanations to experts and to…

Computer Vision and Pattern Recognition · Computer Science 2021-03-10 Ellák Somfai , Benjámin Baffy , Kristian Fenech , Changlu Guo , Rita Hosszú , Dorina Korózs , Fabrizio Nunnari , Marcell Pólik , Daniel Sonntag , Attila Ulbert , András Lőrincz

Support Vector Machine (SVM) is a common classifier used for efficient classification with high accuracy. SVM shows high accuracy for classifying melanoma (skin cancer) clinical images within computer-aided diagnosis systems used by skin…

Image and Video Processing · Electrical Eng. & Systems 2021-08-30 Shereen Afifi , Hamid GholamHosseini , Roopak Sinha

Background: Skin cancer is one of the widely seen cancer worldwide and automatic classification of skin cancer can be benefited dermatology clinics for an accurate diagnosis. Hence, a machine learning-based automatic skin cancer detection…

Computer Vision and Pattern Recognition · Computer Science 2022-03-30 Mehmet Baygin , Turker Tuncer , Sengul Dogan

Skin cancer detection still represents a major challenge in healthcare. Common detection methods can be lengthy and require human assistance which falls short in many countries. Previous research demonstrates how convolutional neural…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Carolin Flosdorf , Justin Engelker , Igor Keller , Nicolas Mohr

Melanoma is a serious form of skin cancer with high mortality rate at later stages. Fortunately, when detected early, the prognosis of melanoma is promising and malignant melanoma incidence rates are relatively low. As a result, datasets…

Computer Vision and Pattern Recognition · Computer Science 2022-08-11 M. M. Amaan Valiuddin , Christiaan G. A. Viviers , Ruud J. G. van Sloun , Peter H. N. de With , Fons van der Sommen

Skin cancer is a major public health problem, with over 5 million newly diagnosed cases in the United States each year. Melanoma is the deadliest form of skin cancer, responsible for over 9,000 deaths each year. In this paper, we propose an…

Computer Vision and Pattern Recognition · Computer Science 2019-06-05 Balazs Harangi

Skin cancer is by far in top-3 of the world's most common cancer. Among different skin cancer types, melanoma is particularly dangerous because of its ability to metastasize. Early detection is the key to success in skin cancer treatment.…

Artificial Intelligence · Computer Science 2020-09-15 Duyen N. T. Le , Hieu X. Le , Lua T. Ngo , Hoan T. Ngo

Melanoma is a leading cause of deaths due to skin cancer deaths and hence, early and effective diagnosis of melanoma is of interest. Current approaches for automated diagnosis of melanoma either use pattern recognition or analytical…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Prathyusha Akundi , Soumyasis Gun , Jayanthi Sivaswamy

Melanoma, one of the deadliest types of skin cancer, accounts for thousands of fatalities globally. The bluish, blue-whitish, or blue-white veil (BWV) is a critical feature for diagnosing melanoma, yet research into detecting BWV in…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 M. A. Rasel , Sameem Abdul Kareem , Zhenli Kwan , Shin Shen Yong , Unaizah Obaidellah

Melanoma spreads through metastasis, and therefore it has been proven to be very fatal. Statistical evidence has revealed that the majority of deaths resulting from skin cancer are as a result of melanoma. Further investigations have shown…

Computer Vision and Pattern Recognition · Computer Science 2015-01-07 Omar Abuzaghleh , Miad Faezipour , Buket D. Barkana

Deep learning-based melanoma classification with dermoscopic images has recently shown great potential in automatic early-stage melanoma diagnosis. However, limited by the significant data imbalance and obvious extraneous artifacts, i.e.,…

Image and Video Processing · Electrical Eng. & Systems 2022-07-18 ChengHui Yu , MingKang Tang , ShengGe Yang , MingQing Wang , Zhe Xu , JiangPeng Yan , HanMo Chen , Yu Yang , Xiao-Jun Zeng , Xiu Li

Skin cancer is the most common type of cancer. Specifically, melanoma is the cause of 75% of skin cancer deaths, although it is the least common skin cancer. Better detection of melanoma could have a positive impact on millions of people.…

Computer Vision and Pattern Recognition · Computer Science 2023-02-21 Chengdong Yao

The initial assessment of skin lesions is typically based on dermoscopic images. As this is a difficult and time-consuming task, machine learning methods using dermoscopic images have been proposed to assist human experts. Other approaches…

Computer Vision and Pattern Recognition · Computer Science 2020-02-06 Nils Gessert , Marcel Bengs , Alexander Schlaefer

Skin Cancer is one of the most deathful of all the cancers. It is bound to spread to different parts of the body on the off chance that it is not analyzed and treated at the beginning time. It is mostly because of the abnormal growth of…

Machine Learning · Computer Science 2019-12-10 Rishu Garg , Saumil Maheshwari , Anupam Shukla

Melanoma is a type of cancer that begins in the cells controlling the pigment of the skin, and it is often referred to as the most dangerous skin cancer. Diagnosing melanoma can be time-consuming, and a recent increase in melanoma incidents…

Image and Video Processing · Electrical Eng. & Systems 2023-12-15 Marie Bø-Sande , Edvin Benjaminsen , Neel Kanwal , Saul Fuster , Helga Hardardottir , Ingrid Lundal , Emiel A. M. Janssen , Kjersti Engan

Skin cancer, a major form of cancer, is a critical public health problem with 123,000 newly diagnosed melanoma cases and between 2 and 3 million non-melanoma cases worldwide each year. The leading cause of skin cancer is high exposure of…

Image and Video Processing · Electrical Eng. & Systems 2020-05-28 Saket S. Chaturvedi , Kajol Gupta , Prakash. S. Prasad