1 code implementation • 10 May 2018 • Sai Samarth R. Phaye, Apoorva Sikka, Abhinav Dhall, Deepti Bathula
We propose Dense Capsule Networks (DCNet) and Diverse Capsule Networks (DCNet++).
Ranked #7 on Image Classification on smallNORB
no code implementations • 26 Jul 2018 • Apoorva Sikka, Skand Vishwanath Peri, Deepti. R. Bathula
The accuracy using only MRI is 70. 18% while joint classification using synthesized PET and MRI is 74. 43% with a p-value of $0. 06$.
no code implementations • 8 Oct 2019 • José Ignacio Orlando, Huazhu Fu, João Barbossa Breda, Karel van Keer, Deepti. R. Bathula, Andrés Diaz-Pinto, Ruogu Fang, Pheng-Ann Heng, Jeyoung Kim, Joonho Lee, Joonseok Lee, Xiaoxiao Li, Peng Liu, Shuai Lu, Balamurali Murugesan, Valery Naranjo, Sai Samarth R. Phaye, Sharath M. Shankaranarayana, Apoorva Sikka, Jaemin Son, Anton Van Den Hengel, Shujun Wang, Junyan Wu, Zifeng Wu, Guanghui Xu, Yongli Xu, Pengshuai Yin, Fei Li, Yanwu Xu, Xiulan Zhang, Hrvoje Bogunović
As part of REFUGE, we have publicly released a data set of 1200 fundus images with ground truth segmentations and clinical glaucoma labels, currently the largest existing one.
no code implementations • 4 Aug 2021 • Apoorva Sikka, Skand, Jitender Singh Virk, Deepti R. Bathula
Medical imaging datasets are inherently high dimensional with large variability and low sample sizes that limit the effectiveness of deep learning algorithms.