Deep learning-based image evaluation for cervical precancer screening with a smartphone targeting low resource settings - Engineering approach. - Liming Hu; Matthew P. Horning; Dipayan Banik; Olusegun Kayode Ajenifuja; Clement Akinfolarin Adepiti; Karen Yeates; Zac Mtema; Ben Wilson; Courosh Mehanian (EMBC, 2020)

A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices. - Zhiyun Xue; Peng Guo; Kanan T. Desai; Anabik Pal; Kayode O. Ajenifuja; Clement Akinfolarin Adepiti; L. Rodney Long; Mark Schiffman; Sameer K. Antani (CBMS, 2021)

Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening. - 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 (RTIP2R, 2021)

Deep multiple-instance learning for abnormal cell detection in cervical histopathology images. - Anabik Pal; Zhiyun Xue; Kanan T. Desai; Adekunbiola Aina F. Banjo; Clement Akinfolarin Adepiti; L. Rodney Long; Mark Schiffman; Sameer K. Antani (Comput. Biol. Medicine, 2021)