Dermoscopy image analysis: overview and future directions

ME Celebi, N Codella, A Halpern - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Dermoscopy is a non-invasive skin imaging technique that permits visualization of features
of pigmented melanocytic neoplasms that are not discernable by examination with the …

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 …

Skin cancer detection from dermoscopic images using deep learning and fuzzy k‐means clustering

M Nawaz, Z Mehmood, T Nazir… - Microscopy research …, 2022 - Wiley Online Library
Melanoma skin cancer is the most life‐threatening and fatal disease among the family of
skin cancer diseases. Modern technological developments and research methodologies …

Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier

YS Alsahafi, MA Kassem, KM Hosny - Journal of Big Data, 2023 - Springer
Human Skin cancer is commonly detected visually through clinical screening followed by a
dermoscopic examination. However, automated skin lesion classification remains …

A mutual bootstrapping model for automated skin lesion segmentation and classification

Y Xie, J Zhang, Y Xia, C Shen - IEEE transactions on medical …, 2020 - ieeexplore.ieee.org
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 …

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images

Y Wang, Y Feng, L Zhang, JT Zhou, Y Liu… - Medical Image …, 2022 - Elsevier
Accurate skin lesion diagnosis requires a great effort from experts to identify the
characteristics from clinical and dermoscopic images. Deep multimodal learning-based …

Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering

N Nida, A Irtaza, A Javed, MH Yousaf… - International journal of …, 2019 - Elsevier
Objective Melanoma is a dangerous form of the skin cancer responsible for thousands of
deaths every year. Early detection of melanoma is possible through visual inspection of …

Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network

M Nawaz, T Nazir, M Masood, F Ali… - … Journal of Imaging …, 2022 - Wiley Online Library
Melanoma is the most fatal type of skin cancer which can cause the death of victims at the
advanced stage. Extensive work has been presented by the researcher on computer vision …

Step-wise integration of deep class-specific learning for dermoscopic image segmentation

L Bi, J Kim, E Ahn, A Kumar, D Feng, M Fulham - Pattern recognition, 2019 - Elsevier
The segmentation of abnormal regions on dermoscopic images is an important step for
automated computer aided diagnosis (CAD) of skin lesions. Recent methods based on fully …

The progress and perspectives of terahertz technology for diagnosis of neoplasms: a review

KI Zaytsev, IN Dolganova, NV Chernomyrdin… - Journal of …, 2019 - iopscience.iop.org
Over the past few decades, significant attention has been paid to the biomedical
applications of terahertz (THz) technology. Nowadays, THz spectroscopy and imaging have …