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ORCIDClement Akinfolarin Adepiti
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Journal Articles
- 2021
[j1]Anabik Pal
, Zhiyun Xue, Kanan T. Desai, Adekunbiola Aina F. Banjo, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani:
Deep multiple-instance learning for abnormal cell detection in cervical histopathology images. Comput. Biol. Medicine 138: 104890 (2021)
Conference and Workshop Papers
- 2021
- [c3]Zhiyun Xue, Peng Guo, Kanan T. Desai, Anabik Pal, Kayode O. Ajenifuja, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani:
A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices. CBMS 2021: 527-532 - [c2]Zhiyun Xue, Peng Guo, Sandeep Angara, Anabik Pal, Jose Jeronimo, Kanan T. Desai, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani:
Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening. RTIP2R 2021: 3-13 - 2020
- [c1]Liming Hu, Matthew P. Horning, Dipayan Banik, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Karen Yeates, Zac Mtema, Ben Wilson, Courosh Mehanian:
Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. EMBC 2020: 1944-1949
Coauthor Index
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