Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks
CC BY
Lưu vào:
| Tác giả chính: | , , |
|---|---|
| Định dạng: | Sách |
| Ngôn ngữ: | English |
| Nhà xuất bản: |
Springer
2023
|
| Chủ đề: | |
| Truy cập trực tuyến: | https://link.springer.com/article/10.1186/s13036-023-00340-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8029 |
| Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
| id |
oai:localhost:PNK-8029 |
|---|---|
| record_format |
dspace |
| spelling |
oai:localhost:PNK-80292023-04-18T03:25:56Z Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks Mohamed Esmail, Karar Nawal, El-Fishawy Marwa, Radad 1D-CNNs LSTM CC BY Early diagnosis of Pancreatic Ductal Adenocarcinoma (PDAC) is the main key to surviving cancer patients. Urine proteomic biomarkers which are creatinine, LYVE1, REG1B, and TFF1 present a promising non-invasive and inexpensive diagnostic method of the PDAC. Recent utilization of both microfluidics technology and artificial intelligence techniques enables accurate detection and analysis of these biomarkers. This paper proposes a new deep-learning model to identify urine biomarkers for the automated diagnosis of pancreatic cancers. The proposed model is composed of one-dimensional convolutional neural networks (1D-CNNs) and long short-term memory (LSTM). It can categorize patients into healthy pancreas, benign hepatobiliary disease, and PDAC cases automatically. 2023-04-18T03:25:56Z 2023-04-18T03:25:56Z 2023 Book https://link.springer.com/article/10.1186/s13036-023-00340-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8029 en application/pdf Springer |
| institution |
Digital Phenikaa |
| collection |
Digital Phenikaa |
| language |
English |
| topic |
1D-CNNs LSTM |
| spellingShingle |
1D-CNNs LSTM Mohamed Esmail, Karar Nawal, El-Fishawy Marwa, Radad Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks |
| description |
CC BY |
| format |
Book |
| author |
Mohamed Esmail, Karar Nawal, El-Fishawy Marwa, Radad |
| author_facet |
Mohamed Esmail, Karar Nawal, El-Fishawy Marwa, Radad |
| author_sort |
Mohamed Esmail, Karar |
| title |
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks |
| title_short |
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks |
| title_full |
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks |
| title_fullStr |
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks |
| title_full_unstemmed |
Automated classification of urine biomarkers to diagnose pancreatic cancer using 1-D convolutional neural networks |
| title_sort |
automated classification of urine biomarkers to diagnose pancreatic cancer using 1-d convolutional neural networks |
| publisher |
Springer |
| publishDate |
2023 |
| url |
https://link.springer.com/article/10.1186/s13036-023-00340-0 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8029 |
| _version_ |
1763543256768970752 |
| score |
8.881002 |