Segmentation of Cellular Patterns in Confocal Images of Melanocytic
Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)

Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)

3 January 2020

Jennifer Dy

Dana H. Brooks

M. Rajadhyaksha

Papers citing "Segmentation of Cellular Patterns in Confocal Images of Melanocytic Lesions in vivo via a Multiscale Encoder-Decoder Network (MED-Net)"

4 / 4 papers shown

Title
Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration Pojui Chen Krishna Gadepalli Robert MacDonald Yun-Hui Liu K. Nagpal Timo Kohlberger Jeffrey Dean G. Corrado J. Hipp Martin C. Stumpe 21 41 0 21 Nov 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 304 10,618 0 19 Feb 2017
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images Noel Codella Q. Nguyen Sharath Pankanti David Gutman Brian Helba Allan Halpern John R. Smith 35 527 0 14 Oct 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015