Deep Multi-Resolution Dictionary Learning for Histopathology Image Analysis

04/01/2021
by   Nima Hatami, et al.
0

The problem of recognizing various types of tissues present in multi-gigapixel histology images is an important fundamental pre-requisite for downstream analysis of the tumor microenvironment in a bottom-up analysis paradigm for computational pathology. In this paper, we propose a deep dictionary learning approach to solve the problem of tissue phenotyping in histology images. We propose deep Multi-Resolution Dictionary Learning (deepMRDL) in order to benefit from deep texture descriptors at multiple different spatial resolutions. We show the efficacy of the proposed approach through extensive experiments on four benchmark histology image datasets from different organs (colorectal cancer, breast cancer and breast lymphnodes) and tasks (namely, cancer grading, tissue phenotyping, tumor detection and tissue type classification). We also show that the proposed framework can employ most off-the-shelf CNNs models to generate effective deep texture descriptors.

READ FULL TEXT

page 1

page 5

page 6

page 8

page 9

research
05/26/2019

Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor Infiltrating Lymphocytes in Invasive Breast Cancer

Quantitative assessment of Tumor-TIL spatial relationships is increasing...
research
01/01/2020

A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis

Histopathology tissue analysis is considered the gold standard in cancer...
research
06/17/2020

Mitosis Detection Under Limited Annotation: A Joint Learning Approach

Mitotic counting is a vital prognostic marker of tumor proliferation in ...
research
02/03/2015

DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification

In histopathological image analysis, feature extraction for classificati...
research
11/04/2021

PDBL: Improving Histopathological Tissue Classification with Plug-and-Play Pyramidal Deep-Broad Learning

Histopathological tissue classification is a fundamental task in pathomi...
research
02/27/2022

Texture Characterization of Histopathologic Images Using Ecological Diversity Measures and Discrete Wavelet Transform

Breast cancer is a health problem that affects mainly the female populat...
research
06/29/2022

Non-convex SVM for cancer diagnosis based on morphologic features of tumor microenvironment

The surroundings of a cancerous tumor impact how it grows and develops i...

Please sign up or login with your details

Forgot password? Click here to reset