Aug 23, 2019 · In this study, we focus on the problem of computer-aided diagnosis of breast cancer using cytological images of fine needle biopsies.
In this study, we focus on the problem of computer-aided diagnosis of breast cancer using cytological images of fine needle biopsies.
In this study, we focus on the problem of computer-aided diagnosis of breast cancer using cytological images of fine needle biopsies.
Jan 22, 2023 · Deep learning algorithms such as multilayer perceptron and neural networks (NN) with backpropagation gave the best accuracy of 99.28%. Similarly ...
Jul 11, 2024 · The BreastNet-SVM model delivered outstanding results, achieving an impressive accuracy of 99.16% as in Table 11.
Missing: Needle Scenario.
Deep learning diagnostic methods offer the potential for improved accuracy and efficiency in breast cancer detection and classification.
We introduce a novel interpretable decision-support model using CNN with a trainable attention mechanism using response-based feed-forward visual explanation.
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This work focuses on breast cancer recurrence prediction using two advanced architectures such as Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)
May 10, 2024 · This paper proposes an approach to enhance the differentiation task between benign and malignant Breast Tumors (BT) using histopathology images from the ...
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Mar 22, 2024 · This paper presents a deep-learning framework, denoted as Brief-Net, based on a convolutional neural network, and applies the framework to ...