4.7 Article

Neuron cell count with deep learning in highly dense hippocampus images

Related references

Note: Only part of the references are listed.
Article Biology

Deep learning for diagnosis of COVID-19 using 3D CT scans

Sertan Serte et al.

Summary: COVID-19, a new type of pneumonia coronavirus, has caused many infections and deaths worldwide. AI techniques can assist radiologists in quickly and accurately detecting COVID-19 infection on CT scans, improving diagnostic efficiency.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

Article Pathology

Endothelial cell damage is the central part of COVID-19 and a mouse model induced by injection of the S1 subunit of the spike protein *

Gerard J. Nuovo et al.

Summary: Neurologic complications of symptomatic COVID-19 are commonly seen, with brain tissues from autopsies showing the presence of pseudovirions in endothelial cells. The spike protein was found to induce ACE2+ endothelial damage, highlighting its central role in SARS-CoV2 pathology. Immunohistochemistry for caspase-3 and ACE2 can be used by diagnostic pathologists to document endothelial cell damage in COVID-19.

ANNALS OF DIAGNOSTIC PATHOLOGY (2021)

Article Engineering, Biomedical

CNL-UNet: A novel lightweight deep learning architecture for multimodal biomedical image segmentation with false output suppression

Md Badiuzzaman Shuvo et al.

Summary: The paper introduces a lightweight architecture named CNL-UNet for 2D multimodal Biomedical Image Segmentation. It utilizes a pre-trained encoder and a novel CNL module to learn from small amounts of data, reduce semantic gaps, and enhance classification and localization accuracy.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

Article Mathematical & Computational Biology

Pixel-Wise Classification in Hippocampus Histological Images

Alfonso Vizcaino et al.

Summary: This paper introduces a pixel-wise classification method for hippocampus histological images, utilizing a 14-D vector representation and popular machine learning models to achieve high accuracy, AUC, and F1 score, with the multilayer perceptron model proving to be the most effective in substituting manual classification tasks in this context.

COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2021)

Article Computer Science, Information Systems

A Statistical Robust Glaucoma Detection Framework Combining Retinex, CNN, and DOE Using Fundus Images

Wheyming Tina Song et al.

Summary: This study proposed an effective, robust, and automated framework for glaucoma detection based on fundus images, which outperforms most archival approaches in terms of effectiveness and simplicity. The proposed framework combines CNN, generalized loss function, robust DOE, and Retinex theory to achieve high sensitivity, specificity, and accuracy, while demonstrating simplicity compared to deep CNN models. Additionally, the framework exhibits superior robustness with low standard errors, making it a potential standard automated glaucoma detection approach in practice.

IEEE ACCESS (2021)

Article Optics

Improved detection performance in blood cell count by an attention-guided deep learning method

Zhengfen Jiang et al.

Summary: Blood cell count is crucial in clinical medical diagnosis. The new Attention-YOLO method improves on the deficiencies of the YOLO detection method by adding attention mechanisms, resulting in improved accuracy in blood cell counting.

OSA CONTINUUM (2021)

Article Computer Science, Interdisciplinary Applications

A Multi-Organ Nucleus Segmentation Challenge

Neeraj Kumar et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Article Multidisciplinary Sciences

AxoNet: A deep learning-based tool to count retinal ganglion cell axons

Matthew D. Ritch et al.

SCIENTIFIC REPORTS (2020)

Article Computer Science, Interdisciplinary Applications

UNet plus plus : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Zongwei Zhou et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Article Computer Science, Artificial Intelligence

A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion

Farman Ali et al.

INFORMATION FUSION (2020)

Article Robotics

Automated Complete Blood Cell Count and Malaria Pathogen Detection Using Convolution Neural Network

Arindam B. Chowdhury et al.

IEEE ROBOTICS AND AUTOMATION LETTERS (2020)

Article Computer Science, Interdisciplinary Applications

Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map

Peter Naylor et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)

Review Immunology

Gut microbiota in neurodegenerative disorders

Suparna Roy Sarkar et al.

JOURNAL OF NEUROIMMUNOLOGY (2019)

Article Computer Science, Artificial Intelligence

Attention gated networks: Learning to leverage salient regions in medical images

Jo Schlemper et al.

MEDICAL IMAGE ANALYSIS (2019)

Article Physics, Multidisciplinary

Automatic detection of neurons in NeuN-stained histological images of human brain

Andrija Stajduhar et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)

Article Multidisciplinary Sciences

Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning

Somayyeh Soltanian-Zadeh et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)

Article Multidisciplinary Sciences

Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry

Yueqin Li et al.

SCIENTIFIC REPORTS (2019)

Article Multidisciplinary Sciences

DeNeRD: high-throughput detection of neurons for brain-wide analysis with deep learning

Asim Iqbal et al.

SCIENTIFIC REPORTS (2019)

Article Multidisciplinary Sciences

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

Li Shen et al.

SCIENTIFIC REPORTS (2019)

Article Cardiac & Cardiovascular Systems

Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification

Joon-myoung Kwon et al.

KOREAN CIRCULATION JOURNAL (2019)

Article Computer Science, Interdisciplinary Applications

Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks

Eli Gibson et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)

Review Clinical Neurology

On Cell Loss and Selective Vulnerability of Neuronal Populations in Parkinson's Disease

Nicolas Giguere et al.

FRONTIERS IN NEUROLOGY (2018)

Article Computer Science, Artificial Intelligence

Glaucoma diagnosis based on both hidden features and domain knowledge through deep learning models

Yidong Chai et al.

KNOWLEDGE-BASED SYSTEMS (2018)

Article Computer Science, Interdisciplinary Applications

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

Neeraj Kumar et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2017)

Article Computer Science, Artificial Intelligence

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Shaoqing Ren et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Computer Science, Information Systems

Deep Learning for Health Informatics

Daniele Ravi et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)

Article Computer Science, Interdisciplinary Applications

Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images

Jun Xu et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2016)

Article Endocrinology & Metabolism

Role of metabolism in neurodegenerative disorders

Claudio Procaccini et al.

METABOLISM-CLINICAL AND EXPERIMENTAL (2016)

Article Biochemistry & Molecular Biology

Immunohistochemical Analysis of Cerebral Thrombi Retrieved by Mechanical Thrombectomy from Patients with Acute Ischemic Stroke

Michael K. Schuhmann et al.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2016)

Review Pharmacology & Pharmacy

Neuroprotective agents target molecular mechanisms of disease in ALS

Yongjin Zhu et al.

DRUG DISCOVERY TODAY (2015)

Article Biochemical Research Methods

Comparison of different quantification methods to determine hippocampal damage after cerebral ischemia

Jie Wang et al.

JOURNAL OF NEUROSCIENCE METHODS (2015)

Article Biochemical Research Methods

Comparison of unbiased estimation of neuronal number in the rat hippocampus with different staining methods

Yongjin Zhu et al.

JOURNAL OF NEUROSCIENCE METHODS (2015)

Article Clinical Neurology

Neuroprotective effect of levetiracetam on hypoxic ischemic brain injury in neonatal rats

Mustafa Komur et al.

CHILDS NERVOUS SYSTEM (2014)

Article Biochemical Research Methods

Automated immunohistochemical method to quantify neuronal density in brain sections: Application to neuronal loss after status epilepticus

Caroline Woeffler-Maucler et al.

JOURNAL OF NEUROSCIENCE METHODS (2014)

Article Pathology

Neuroprotective effect of curcumin on hippocampal injury in 6-OHDA-induced Parkinson's disease rat

Jiaqing Yang et al.

PATHOLOGY RESEARCH AND PRACTICE (2014)

Article Microscopy

Automated identification of neurons and their locations

A. Inglis et al.

JOURNAL OF MICROSCOPY (2008)

Article Computer Science, Information Systems

Realization of the Contrast Limited Adaptive Histogram Equalization (CLAHE) for real-time image enhancement

AM Reza

JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (2004)

Review Neurosciences

Iron, brain ageing and neurodegenerative disorders

L Zecca et al.

NATURE REVIEWS NEUROSCIENCE (2004)

Article Microscopy

Tissue shrinkage and unbiased stereological estimation of particle number and size

KA Dorph-Petersen et al.

JOURNAL OF MICROSCOPY-OXFORD (2001)

Review Cell Biology

Apoptosis in neurodegenerative disorders

MP Mattson

NATURE REVIEWS MOLECULAR CELL BIOLOGY (2000)