OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Pancreatic cancer grading in pathological images using deep learning convolutional neural networks
Muhammad Nurmahir Mohamad Sehmi, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, et al.
F1000Research (2022) Vol. 10, pp. 1057-1057
Open Access | Times Cited: 9
Muhammad Nurmahir Mohamad Sehmi, Mohammad Faizal Ahmad Fauzi, Wan Siti Halimatul Munirah Wan Ahmad, et al.
F1000Research (2022) Vol. 10, pp. 1057-1057
Open Access | Times Cited: 9
Showing 9 citing articles:
Pancreatic Ductal Adenocarcinoma (PDAC): A Review of Recent Advancements Enabled by Artificial Intelligence
Ashwin Mukund, Muhammad Ali Afridi, Aleksandra Karolak, et al.
Cancers (2024) Vol. 16, Iss. 12, pp. 2240-2240
Open Access | Times Cited: 7
Ashwin Mukund, Muhammad Ali Afridi, Aleksandra Karolak, et al.
Cancers (2024) Vol. 16, Iss. 12, pp. 2240-2240
Open Access | Times Cited: 7
Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosis
Alexandra Corina Faur, Daniela Lazăr, Laura Andreea Ghenciu
World Journal of Gastroenterology (2023) Vol. 29, Iss. 12, pp. 1811-1823
Open Access | Times Cited: 16
Alexandra Corina Faur, Daniela Lazăr, Laura Andreea Ghenciu
World Journal of Gastroenterology (2023) Vol. 29, Iss. 12, pp. 1811-1823
Open Access | Times Cited: 16
ChampKit: A framework for rapid evaluation of deep neural networks for patch-based histopathology classification
Jakub Kaczmarzyk, Rajarsi Gupta, Tahsin Kurç, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 239, pp. 107631-107631
Open Access | Times Cited: 8
Jakub Kaczmarzyk, Rajarsi Gupta, Tahsin Kurç, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 239, pp. 107631-107631
Open Access | Times Cited: 8
Artificial Intelligence in Pancreatic Image Analysis: A Review
W.J. Liu, Bairui Zhang, Tao Liu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 2
W.J. Liu, Bairui Zhang, Tao Liu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4749-4749
Open Access | Times Cited: 2
Sparrow Search Algorithm With Stacked Deep Learning Based Medical Image Analysis for Pancreatic Cancer Detection and Classification
Janjhyam Venkata Naga Ramesh, T. Abirami, T. Gopalakrishnan, et al.
IEEE Access (2023) Vol. 11, pp. 111927-111935
Open Access | Times Cited: 3
Janjhyam Venkata Naga Ramesh, T. Abirami, T. Gopalakrishnan, et al.
IEEE Access (2023) Vol. 11, pp. 111927-111935
Open Access | Times Cited: 3
Applications of spatial transcriptomics and artificial intelligence to develop integrated management of pancreatic cancer
Rishabh Maurya, Isha Chug, Vignesh Vudatha, et al.
Advances in cancer research (2024), pp. 107-136
Closed Access
Rishabh Maurya, Isha Chug, Vignesh Vudatha, et al.
Advances in cancer research (2024), pp. 107-136
Closed Access
Deep Learning Techniques for Pancreatic Cancer Analysis: A Systematic Review and Implantation Prerequisites
Jasmine Chhikara, Nidhi Goel, Neeru Rathee
Procedia Computer Science (2024) Vol. 235, pp. 3118-3130
Open Access
Jasmine Chhikara, Nidhi Goel, Neeru Rathee
Procedia Computer Science (2024) Vol. 235, pp. 3118-3130
Open Access
Refining Pancreatic Cancer Detection and Classification Through a Hybrid Approach: Stacked Deep Learning Integrated with the Sparrow Search Algorithm for Medical Image Analysis
Pizer Me, M. Kalpana Devi, Naduvathezhath Nessariose Jose, et al.
(2024), pp. 1-6
Closed Access
Pizer Me, M. Kalpana Devi, Naduvathezhath Nessariose Jose, et al.
(2024), pp. 1-6
Closed Access
