Applying deep learning for breast cancer detection in radiology

E Mahoro, MA Akhloufi - Current Oncology, 2022 - mdpi.com
Recent advances in deep learning have enhanced medical imaging research. Breast cancer
is the most prevalent cancer among women, and many applications have been developed to …

Medical image based breast cancer diagnosis: State of the art and future directions

M Tariq, S Iqbal, H Ayesha, I Abbas, KT Ahmad… - Expert Systems with …, 2021 - Elsevier
The intervention of medical imaging has significantly improved early diagnosis of breast
cancer. Different radiological and microscopic imaging modalities are frequently utilized by …

A systematic review of breast cancer detection using thermography and neural networks

MAS Al Husaini, MH Habaebi, SA Hameed… - IEEE …, 2020 - ieeexplore.ieee.org
Breast cancer plays a significant role in affecting female mortality. Researchers are actively
seeking to develop early detection methods of breast cancer. Several technologies …

Breast cancer detection in thermography using convolutional neural networks (cnns) with deep attention mechanisms

A Alshehri, D AlSaeed - Applied Sciences, 2022 - mdpi.com
Featured Application Medical diagnosis and computer-aided diagnosis systems. Abstract
Breast cancer is one of the most common types of cancer among women. Accurate …

Cancer detection in breast cells using a hybrid method based on deep complex neural network and data mining

L Yang, S Peng, RO Yahya, L Qian - Journal of Cancer Research and …, 2023 - Springer
Introduction Diagnosis of cancer in breast cells is an important and vital issue in the field of
medicine. In this context, the use of advanced methods such as deep complex neural …

Breast cancer diagnosis in thermography using pre-trained vgg16 with deep attention mechanisms

A Alshehri, D AlSaeed - Symmetry, 2023 - mdpi.com
One of the most prevalent cancers in women is breast cancer. The mortality rate related to
this disease can be decreased by early, accurate diagnosis to increase the chance of …

A comprehensive survey on breast cancer thermography classification using deep neural network

AH Abed, EM Shaaban, OP Jena… - Machine Learning and …, 2022 - taylorfrancis.com
Building up a breast cancer identification platform is vital to encourage breast cancer
detection and treatment at the very early stage. Proposing a screening system utilizing …

ABT: a comparative analytical survey on Analysis of Breast Thermograms

M Ensafi, MR Keyvanpour, SV Shojaedini - Multimedia Tools and …, 2024 - Springer
One of the common causes of death for women worldwide is breast cancer which various
screening and imaging techniques can reduce its mortality and treatment costs. Although …

Novel Materials–Based Photonic Crystal Fiber Sensor for Biomedical Applications

S Jain, K Choudhary, S Kumar - Plasmonics, 2024 - Springer
Surface plasmon resonance (SPR) technology–based biosensors, including photonic crystal
fiber (PCF-SPR) biosensors, have been investigated for their potential in cancer detection …

A Tamm Plasmon Refractive Index Sensor for Cancer Cell Detection Based on TiN and Semi-Porous Si3N4 Distributed Bragg Reflector

J Kulanthaivel, N Ashok - Plasmonics, 2024 - Springer
In this article, a theoretical study of Tamm plasmon based Refractive Index (RI) sensor for
cancer cell detection has been proposed. The proposed sensor structure comprises of a thin …