Prognostic and predictive biomarkers in gliomas
P Śledzińska, MG Bebyn, J Furtak… - International journal of …, 2021 - mdpi.com
Gliomas are the most common central nervous system tumors. New technologies, including
genetic research and advanced statistical methods, revolutionize the therapeutic approach …
genetic research and advanced statistical methods, revolutionize the therapeutic approach …
A survey of feature extraction in dermoscopy image analysis of skin cancer
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 …
week. This makes it difficult not only to keep track of all the contributions, but also for new …
Recent advances in hyperspectral imaging for melanoma detection
Skin cancer is one of the most common types of cancer. Skin cancers are classified as
nonmelanoma and melanoma, with the first type being the most frequent and the second …
nonmelanoma and melanoma, with the first type being the most frequent and the second …
[PDF][PDF] Deep Learning-Enhanced Image Segmentation for Medical Diagnostics
S Addimulam, MA Mohammed… - Malaysian Journal of …, 2020 - researchgate.net
Deep learning-enhanced picture segmentation has transformed medical diagnostics by
accurately and efficiently delineating anatomical features and clinical anomalies. This article …
accurately and efficiently delineating anatomical features and clinical anomalies. This article …
Classification for dermoscopy images using convolutional neural networks based on the ensemble of individual advantage and group decision
Skin cancer is a common and deadly cancer. Dermoscopy is an effective tool for the
observation of abnormal skin pigmentation. However, dermoscopy images are extremely …
observation of abnormal skin pigmentation. However, dermoscopy images are extremely …
Improvement in the diagnosis of melanoma and dysplastic lesions by introducing ABCD-PDT features and a hybrid classifier
A Zakeri, A Hokmabadi - Biocybernetics and Biomedical Engineering, 2018 - Elsevier
Melanoma and dysplastic lesions are pigmented skin lesions whose accurate classification
is of great importance. In this paper, we have proposed a computer-aided diagnosis (CAD) …
is of great importance. In this paper, we have proposed a computer-aided diagnosis (CAD) …
[PDF][PDF] Evaluation of the Diagnostic Accuracy of an Online Artificial Intelligence Application for Skin Disease Diagnosis.
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ermato- V enereologica Acta Derm Venereol 2020; 100: adv00260 This is an open access article …
ermato- V enereologica Acta Derm Venereol 2020; 100: adv00260 This is an open access article …
Recent advances in label-free optical, electrochemical, and electronic biosensors for glioma biomarkers
Gliomas are the most commonly occurring primary brain tumor with poor prognosis and high
mortality rate. Currently, the diagnostic and monitoring options for glioma mainly revolve …
mortality rate. Currently, the diagnostic and monitoring options for glioma mainly revolve …
Transition region based approach for skin lesion segmentation
Skin melanoma is a skin disease that affects nearly 40% of people globally. Manual
detection of the area is a time-consuming process and requires expert knowledge. The …
detection of the area is a time-consuming process and requires expert knowledge. The …
Transition region based approach for skin lesion segmentation
Skin melanoma is a skin disease that affects nearly 40% of people globally. Manual
detection of the area is a time-consuming process and requires expert knowledge. The …
detection of the area is a time-consuming process and requires expert knowledge. The …