Current state of breast cancer diagnosis, treatment, and theranostics
A Bhushan, A Gonsalves, JU Menon - Pharmaceutics, 2021 - mdpi.com
Breast cancer is one of the leading causes of cancer-related morbidity and mortality in
women worldwide. Early diagnosis and effective treatment of all types of cancers are crucial …
women worldwide. Early diagnosis and effective treatment of all types of cancers are crucial …
A review on image-based approaches for breast cancer detection, segmentation, and classification
Z Rezaei - Expert Systems with Applications, 2021 - Elsevier
The breast cancer as the most life-threatening disease among the woman has emerged in
the worldwide. It is supposed that the early testing and treatment for breast cancer detection …
the worldwide. It is supposed that the early testing and treatment for breast cancer detection …
An electrochemical immunosensor based on gold-graphene oxide nanocomposites with ionic liquid for detecting the breast cancer CD44 biomarker
P Ranjan, M Abubakar Sadique… - ACS Applied Materials …, 2022 - ACS Publications
We develop a highly sensitive electrochemical immunosensor for the detection of a cluster of
differentiation-44 (CD44) antigen, a breast cancer biomarker. The hybrid nanocomposite …
differentiation-44 (CD44) antigen, a breast cancer biomarker. The hybrid nanocomposite …
Predicting breast tumor malignancy using deep ConvNeXt radiomics and quality-based score pooling in ultrasound sequences
Breast cancer needs to be detected early to reduce mortality rate. Ultrasound imaging (US)
could significantly enhance diagnosing cases with dense breasts. Most of the existing …
could significantly enhance diagnosing cases with dense breasts. Most of the existing …
A systematic literature review of breast cancer diagnosis using machine intelligence techniques
Breast cancer is one of the most common diseases in women; it can have long-term
implications and can even be fatal. However, early detection, achieved through recent …
implications and can even be fatal. However, early detection, achieved through recent …
A deep learning approach for automatic detection, segmentation and classification of breast lesions from thermal images
Purpose This study investigates implementation of deep learning (DL) approaches to breast
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …
tumor recognition based on thermal images. We propose to utilize Mask R-CNN technique …
BreaST-Net: Multi-class classification of breast cancer from histopathological images using ensemble of swin transformers
Breast cancer (BC) is one of the deadly forms of cancer, causing mortality worldwide in the
female population. The standard imaging procedures for screening BC involve …
female population. The standard imaging procedures for screening BC involve …
A twin convolutional neural network with hybrid binary optimizer for multimodal breast cancer digital image classification
ON Oyelade, EA Irunokhai, H Wang - Scientific Reports, 2024 - nature.com
There is a wide application of deep learning technique to unimodal medical image analysis
with significant classification accuracy performance observed. However, real-world …
with significant classification accuracy performance observed. However, real-world …
An extensive review of state-of-the-art transfer learning techniques used in medical imaging: Open issues and challenges
AA Mukhlif, B Al-Khateeb… - Journal of Intelligent …, 2022 - degruyter.com
Deep learning techniques, which use a massive technology known as convolutional neural
networks, have shown excellent results in a variety of areas, including image processing …
networks, have shown excellent results in a variety of areas, including image processing …
Existing and emerging breast cancer detection technologies and its challenges: a review
Breast cancer is the most leading cancer occurring in women and is a significant factor in
female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …
female mortality. Early diagnosis of breast cancer with Artificial Intelligent (AI) developments …