[HTML][HTML] Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning
Abstract Background and Objective: Many developed and non-developed countries
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …
worldwide suffer from cancer-related fatal diseases. In particular, the rate of breast cancer in …
[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review
Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
Development and evaluation of deep learning algorithms for assessment of acute burns and the need for surgery
C Boissin, L Laflamme, J Fransén, M Lundin, F Huss… - Scientific Reports, 2023 - nature.com
Assessment of burn extent and depth are critical and require very specialized diagnosis.
Automated image-based algorithms could assist in performing wound detection and …
Automated image-based algorithms could assist in performing wound detection and …
Accuracy of image-based automated diagnosis in the identification and classification of acute burn injuries. A systematic review
C Boissin, L Laflamme - European Burn Journal, 2021 - mdpi.com
Although they are a common type of injury worldwide, burns are challenging to diagnose,
not least by untrained point-of-care clinicians. Given their visual nature, developments in …
not least by untrained point-of-care clinicians. Given their visual nature, developments in …
[Retracted] Research on Classification Method of Network Resources Based on Modified SVM Algorithm
H Zhang, J Hu, Y Zhang - Security and Communication …, 2021 - Wiley Online Library
According to the traditional classification method of network capital resources, there are
some problems such as low efficiency, low recall rate, and low precision rate of information …
some problems such as low efficiency, low recall rate, and low precision rate of information …
Autonomous Multi-modality Burn Wound Characterization using Artificial Intelligence
ABSTRACT Introduction Between 5% and 20% of all combat-related casualties are
attributed to burn wounds. A decrease in the mortality rate of burns by about 36% can be …
attributed to burn wounds. A decrease in the mortality rate of burns by about 36% can be …
Mut-Detecter: An EGFR activating mutation type classification method with a deep convolutional neural network
Y Wang, X Hua, Y Wang, C Zhang, D Bu… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Epidermal growth factor receptor (EGFR) plays an essential role in tumor cell proliferation,
angiogenesis and apoptosis inhibition; it is a crucial factor leading to cancer occurrence. For …
angiogenesis and apoptosis inhibition; it is a crucial factor leading to cancer occurrence. For …
[PDF][PDF] Ateeq Ur Rehman Butt, AZHAR IMRAN Mudassir, Muhammad Azeem Qadir, and Sundus Munir. 2021.“Towards Skin Cancer Classification Using Machine …
I Khan, MZ Siddique - International Journal of Innovations in Science & … - researchgate.net
__________________________________… kin cancer is an uncontrolled development of
abnormal skin cells potentially due to excessive exposure to sun, history of sunburns, less …
abnormal skin cells potentially due to excessive exposure to sun, history of sunburns, less …
Towards Skin Cancer Classification Using Machine Learning And Deep Learning Algorithms: A Comparison
I Khan, MZ Siddique, AUR Butt, AI Mudassir… - … Journal of Innovations …, 2021 - ideas.repec.org
Skin cancer is an uncontrolled development of abnormal skin cells potentially due to
excessive exposure to sun, history of sunburns, less melanin, Precancerous skin lesions …
excessive exposure to sun, history of sunburns, less melanin, Precancerous skin lesions …