Article

A Novel Transfer Learning Approach for Toxoplasma Gondii Microscopic Image Recognition by Fuzzy Cycle Generative Adversarial Network

2019-03-05

Abstract excerpt

Toxoplasma gondii , one of the world’s most common parasites, can infect all types of warm-blooded animals, including one-third of the world’s human population. Most current routine diagnostic methods are costly, time-consuming, and labor-intensive. Although T.gondii can be directly observed under the microscope in tissue or spinal fluid samples, this form of identification is difficult and requires well trained...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5a99d7c3-8936-5a78-b9c9-a2a7380264a4
DOI: 10.1101/567891

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A Novel Transfer Learning Approach for Toxoplasma Gondii Microscopic Image Recognition by Fuzzy Cycle Generative Adversarial NetworkDOI 10.1101/567891Read

A Lightweight Deep Learning Framework for Reliable Microscopy-Based Diagnosis of Cutaneous LeishmaniasisSemantic proximity Read

Cycle-consistent Generative Adversarial Network for computational hematoxylin-and-eosin staining of fluorescence confocal microscopic images of basal cell carcinoma tissueSemantic proximity Read

An Improved Pear Disease Classification Approach using Cycle Generative Adversarial NetworkSemantic proximity Read

Detection of Covid-19 Cases Using Gan (Generative Adversarial Network)Semantic proximity Read

CycleGAN-based Data Augmentation to Improve Generalizability Alzheimer’s Diagnosis using Deep LearningSemantic proximity Read

Detection of Malaria Infection from parasite-free blood smearsSemantic proximity Read

Data Synthesis Technique for Categorical Pestes Des Petits Ruminants (PPR) Data Using CTGAN ModelSemantic proximity Read

Normalization of HE-Stained Histological Images using Cycle Consistent Generative Adversarial NetworksSemantic proximity Read

MLens: Advancing Real-Time Detection, Identification and Counting of Pathogenic Microparasites through a Web InterfaceSemantic proximity Read

A deep learning approach to capture the essence of <i>Candida albicans</i> morphologiesSemantic proximity Read

Unsupervised image translation using adversarial networks for improved plant disease recognitionSemantic proximity Read

Versatile Stain Transfer in Histopathology Using a Unified Diffusion FrameworkSemantic proximity Read