[HTML][HTML] Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
With an increase in deep learning-based methods, the call for explainability of such methods
grows, especially in high-stakes decision making areas such as medical image analysis …
grows, especially in high-stakes decision making areas such as medical image analysis …
[HTML][HTML] Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Artificial Intelligence (AI) techniques of deep learning have revolutionized the disease
diagnosis with their outstanding image classification performance. In spite of the outstanding …
diagnosis with their outstanding image classification performance. In spite of the outstanding …
Deep learning techniques to diagnose lung cancer
L Wang - Cancers, 2022 - mdpi.com
Simple Summary This study investigates the latest achievements, challenges, and future
research directions of deep learning techniques for lung cancer and pulmonary nodule …
research directions of deep learning techniques for lung cancer and pulmonary nodule …
Deep learning for computational cytology: A survey
Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …
image computing concerned with analyzing digitized cytology images by computer-aided …
Deep convolutional neural network-based classification of cancer cells on cytological pleural effusion images
X Xie, CC Fu, L Lv, Q Ye, Y Yu, Q Fang, L Zhang… - Modern …, 2022 - nature.com
Lung cancer is one of the leading causes of cancer-related death worldwide. Cytology plays
an important role in the initial evaluation and diagnosis of patients with lung cancer …
an important role in the initial evaluation and diagnosis of patients with lung cancer …
ISANET: Non-small cell lung cancer classification and detection based on CNN and attention mechanism
Z Xu, H Ren, W Zhou, Z Liu - Biomedical Signal Processing and Control, 2022 - Elsevier
Lung cancer is one of the malignant tumors with high morbidity and mortality worldwide.
Among them, non-small cell lung cancer accounts for about 85% of all lung cancers. In the …
Among them, non-small cell lung cancer accounts for about 85% of all lung cancers. In the …
Deep learning approach to classification of lung cytological images: Two-step training using actual and synthesized images by progressive growing of generative …
A Teramoto, T Tsukamoto, A Yamada, Y Kiriyama… - PloS one, 2020 - journals.plos.org
Cytology is the first pathological examination performed in the diagnosis of lung cancer. In
our previous study, we introduced a deep convolutional neural network (DCNN) to …
our previous study, we introduced a deep convolutional neural network (DCNN) to …
A survey of computer-aided tumor diagnosis based on convolutional neural network
Simple Summary One of the hottest areas in deep learning is computerized tumor diagnosis
and treatment. The identification of tumor markers, the outline of tumor growth activity, and …
and treatment. The identification of tumor markers, the outline of tumor growth activity, and …
Automated detection and segmentation of early gastric cancer from endoscopic images using mask R-CNN
T Shibata, A Teramoto, H Yamada, N Ohmiya, K Saito… - Applied Sciences, 2020 - mdpi.com
Gastrointestinal endoscopy is widely conducted for the early detection of gastric cancer.
However, it is often difficult to detect early gastric cancer lesions and accurately evaluate the …
However, it is often difficult to detect early gastric cancer lesions and accurately evaluate the …
A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications
Lung cancer is a leading cause of cancer death in both men and women worldwide. The
high mortality rate in lung cancer is in part due to late-stage diagnostics as well as spread of …
high mortality rate in lung cancer is in part due to late-stage diagnostics as well as spread of …