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Melanoma is a life-threatening form of skin cancer when left undiagnosed at the early stages. Although there are more cases of non-melanoma cancer than melanoma cancer, melanoma cancer is more deadly. Early detection of melanoma is crucial…

Image and Video Processing · Electrical Eng. & Systems 2020-05-15 Shreshth Saini , Divij Gupta , Anil Kumar Tiwari

This chapter presents a methodology for diagnosis of pigmented skin lesions using convolutional neural networks. The architecture is based on convolu-tional neural networks and it is evaluated using new CNN models as well as re-trained…

Image and Video Processing · Electrical Eng. & Systems 2020-09-02 Prasitthichai Naronglerdrit , Iosif Mporas

Skin cancer is the most common cancer in the existing world constituting one-third of the cancer cases. Benign skin cancers are not fatal, can be cured with proper medication. But it is not the same as the malignant skin cancers. In the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-21 Dusa Sai Charan , Hemanth Nadipineni , Subin Sahayam , Umarani Jayaraman

Melanoma classification is a serious stage to identify the skin disease. It is considered a challenging process due to the intra-class discrepancy of melanomas, skin lesions low contrast, and the artifacts in the dermoscopy images,…

Computer Vision and Pattern Recognition · Computer Science 2018-07-27 Yanhui Guo , Amira S. Ashour

With a large influx of dermoscopy images and a growing shortage of dermatologists, automatic dermoscopic image analysis plays an essential role in skin cancer diagnosis. In this paper, a new deep fully convolutional neural network (FCNN) is…

Computer Vision and Pattern Recognition · Computer Science 2017-03-17 Jin Qi , Miao Le , Chunming Li , Ping Zhou

Skin cancer is among the most common cancer types. Dermoscopic image analysis improves the diagnostic accuracy for detection of malignant melanoma and other pigmented skin lesions when compared to unaided visual inspection. Hence,…

Computer Vision and Pattern Recognition · Computer Science 2020-06-29 Amirreza Mahbod , Gerald Schaefer , Chunliang Wang , Rupert Ecker , Georg Dorffner , Isabella Ellinger

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, one of most dangerous types of skin cancer, re-sults in a very high mortality rate. Early detection and resection are two key points for a successful cure. Recent research has used artificial intelligence to classify melanoma and…

Computer Vision and Pattern Recognition · Computer Science 2020-08-31 Cong Tri Pham , Mai Chi Luong , Dung Van Hoang , Antoine Doucet

Melanoma is a sort of skin cancer that starts in the cells known as melanocytes. It is more dangerous than other types of skin cancer because it can spread to other organs. Melanoma can be fatal if it spreads to other parts of the body.…

Image and Video Processing · Electrical Eng. & Systems 2023-12-05 Md. Fahim Uddin , Nafisa Tafshir , Mohammad Monirujjaman Khan

Skin cancer is the most common human malignancy(American Cancer Society) which is primarily diagnosed visually, starting with an initial clinical screening and followed potentially by dermoscopic(related to skin) analysis, a biopsy and…

Image and Video Processing · Electrical Eng. & Systems 2022-02-03 Kartikeya Agarwal , Tismeet Singh

Melanoma, a malignant form of skin cancer is very threatening to life. Diagnosis of melanoma at an earlier stage is highly needed as it has a very high cure rate. Benign and malignant forms of skin cancer can be detected by analyzing the…

Computer Vision and Pattern Recognition · Computer Science 2017-03-14 P. Mirunalini , Aravindan Chandrabose , Vignesh Gokul , S. M. Jaisakthi

Pigmented skin lesions represent localized areas of increased melanin and can indicate serious conditions like melanoma, a major contributor to skin cancer mortality. The MedMNIST v2 dataset, inspired by MNIST, was recently introduced to…

Image and Video Processing · Electrical Eng. & Systems 2025-07-18 Nerma Kadric , Amila Akagic , Medina Kapo

Melanoma skin cancer is one of the most dangerous and life-threatening cancer. Exposure to ultraviolet rays may damage the skin cell's DNA, which causes melanoma skin cancer. However, it is difficult to detect and classify melanoma and…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 N. I. Md. Ashafuddula , Rafiqul Islam

Breast cancer is a relatively common cancer among gynecological cancers. Its diagnosis often relies on the pathology of cells in the lesion. The pathological diagnosis of breast cancer not only requires professionals and time, but also…

Image and Video Processing · Electrical Eng. & Systems 2024-04-15 MingXuan Xiao , Yufeng Li , Xu Yan , Min Gao , Weimin Wang

In this paper, the effectiveness and capability of convolutional neural networks have been studied in the classification of 8 skin diseases. Different pre-trained state-of-the-art architectures (DenseNet 201, ResNet 152, Inception v3,…

Computer Vision and Pattern Recognition · Computer Science 2018-10-25 Amirreza Rezvantalab , Habib Safigholi , Somayeh Karimijeshni

We describe a software toolbox for the configuration of deep neural networks in the domain of skin cancer classification. The implemented software architecture allows developers to quickly set up new convolutional neural network (CNN)…

Image and Video Processing · Electrical Eng. & Systems 2019-08-23 Fabrizio Nunnari , Daniel Sonntag

In routine colorectal cancer management, histologic samples stained with hematoxylin and eosin are commonly used. Nonetheless, their potential for defining objective biomarkers for patient stratification and treatment selection is still…

Quantitative Methods · Quantitative Biology 2024-09-26 Fabi Prezja , Leevi Annala , Sampsa Kiiskinen , Suvi Lahtinen , Timo Ojala , Pekka Ruusuvuori , Teijo Kuopio

Melanoma is the deadliest form of skin cancer. While curable with early detection, only highly trained specialists are capable of accurately recognizing the disease. As expertise is in limited supply, automated systems capable of…

Computer Vision and Pattern Recognition · Computer Science 2016-10-19 Noel Codella , Quoc-Bao Nguyen , Sharath Pankanti , David Gutman , Brian Helba , Allan Halpern , John R. Smith

Deep learning algorithms offer a powerful means to automatically analyze the content of medical images. However, many biological samples of interest are primarily transparent to visible light and contain features that are difficult to…

Computer Vision and Pattern Recognition · Computer Science 2017-09-22 Roarke Horstmeyer , Richard Y. Chen , Barbara Kappes , Benjamin Judkewitz

Today, skin cancer is considered as one of the most dangerous and common cancers in the world which demands special attention. Skin cancer may be developed in different types; including melanoma, actinic keratosis, basal cell carcinoma,…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Amir Faghihi , Mohammadreza Fathollahi , Roozbeh Rajabi
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