Lung-based abnormalities detection solution

Jun 24, 2021

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We at ESDS help healthcare and other sectors with cutting-edge Artificial Intelligence and Deep Learning technology to solve the enormous problems faced in the industry.<br><br>With the help of experts in the medical field, and in partnership with AA HealthTech we have developed an Artificial Intelligence solution to identify patients with diseases in the lungs.

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Lung-based abnormalities detection solution

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Structural Abnormalities

Structural Abnormalities. Deletions. Translocations. Inversions. Duplications. Deletions. Small or large. Mutation in one or many genes. Homozygosity or heterozygosity for each. Consequences for gene function. Deletions. Loss of chromosomal material Large-scale deletions are lethal

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Electrolyte Abnormalities

Electrolyte Abnormalities. 3 July 2008 Justin A. Glass, MD Emory Family Medicine. Goals. Review of common electrolyte abnormalities Normal ranges Clinical manifestations of hypo- or hyper- states Causes Treatment options. Goals. What will spend time on today… Sodium Potassium

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Host – Based Intrusion Detection

Host – Based Intrusion Detection. “Working of Tripwire”. Background. Complements ... A Layered Security Approach Firewalls / VPNs Anti-virus Authentication Intrusion Detection System 2. Uses. Intrusion Detection File Integrity Assessment Damage Discovery (Forensics)

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Ultrasound Detection of the Chromosomal Abnormalities

Ultrasound Detection of the Chromosomal Abnormalities. DR. NABEEL BONDAGJI FRCSC, FACOG Associate Prof. Consultant King Abdulaziz University Hospital. Consultant Perinatologist King Faisal Specialist Hospital & Research Center - Jeddah. Introduction. Spontaneous abortions  50%

1.03k views • 38 slides

Device-Based Therapy of Cardiac Rhythm Abnormalities

Device-Based Therapy of Cardiac Rhythm Abnormalities. Summaries from the: ACC/AHA/HRS 2008 Guidelines for Device-Based Therapy of Cardiac Rhythm Abnormalities Epstein AE et al. Heart Rhythm 2008;5:934-55. Permanent Pacemaker Implantation.

178 views • 6 slides

Metabolic Abnormalities

Metabolic Abnormalities. Surgical Fundamentals Lecture Asha Bale, MD 8/06/10. Overview. Symptoms, Etiology, Treatment Sodium Potassium Magnesium Calcium Glucose abnormalities Arrhythmias. Hyponatremia Na<136. Most Common causes are Iatrogenic or SIADH Sx: CNS (increased ICP)

620 views • 47 slides

Erythrocyte Abnormalities

Erythrocyte Abnormalities. Clinical Pathology, Ms. Canga. Erythrocyte Morphology. Different species have different _________ RBCs with varying degrees of ___________________________ . Dogs have _____________ RBCs (~________ µm in diameter) Cats, horses, cows, sheep, goats (3-4 µm)

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Lung cancer: Screening & early detection

21 st Century Oncology Lung Cancer Seminar. Lung cancer: Screening & early detection. Imtiaz Ahmad, MD, FCCP 21 st Century Oncology. Prevention of lung cancer. Prevention of smoking remains to be the key to reduce the risk of lung cancer. Key points. What is lung cancer? Am I at risk?

550 views • 18 slides

Network-Based Intrusion Detection

FORE SEC Academy Security Essentials (III). Network-Based Intrusion Detection. Need for Network-based Intrusion Detection. Most attacks come from the Internet Detecting these attacks allows a site to tune defenses If we correlate data from a large number of sources we increase our

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REPOLARIZATION ABNORMALITIES

REPOLARIZATION ABNORMALITIES. INTRODUCTION- T WAVE & ST SEGMENT ABNORMALITIES.

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REPOLARIZATION ABNORMALITIES

REPOLARIZATION ABNORMALITIES. QT INTERVALS.

194 views • 10 slides

Detection, Visualization, and Identification of Lung Abnormalities in Chest Spiral CT Scans

Detection, Visualization, and Identification of Lung Abnormalities in Chest Spiral CT Scans. 3D CT Image Data. Visualize Whole lung tissues Using VTK. 8 mm. Making stochastic Model using Gibbs Markov Random Field. Apply ICM using Genetic and EM algorithm . Removing Background.

428 views • 28 slides

Detection, Visualization, and Identification of Lung Abnormalities in Chest Spiral CT Scans

393 views • 28 slides

Metabolic Abnormalities

Metabolic Abnormalities. Asha Bale, MD Surgical Fundamentals Lecture #6. Overview. Symptoms, Etiology, Treatment Sodium Potassium Magnesium Calcium Glucose abnormalities Arrhythmias. Hyponatremia Na<136. Most Common causes are Iatrogenic or SIADH Sx: CNS (increased ICP)

768 views • 47 slides

Early Detection of Lung Cancer & Beyond

Early Detection of Lung Cancer & Beyond. GUIA ELENA IMELDA R. LADRERA, MD Lung Center of the Philippines. Objectives. Present available statistics on Lung Cancer. Present data on the early detection of lung cancer. Present the LCP Algorithm in the approach to lung cancer suspect.

795 views • 37 slides

SIEM Based Intrusion Detection

SIEM Based Intrusion Detection. Jim Beechey March 2010 GSEC Gold, GCIA Gold, GCIH, GCFA, GCWN. Objective. Attackers are more sophisticated and targeted in their attacks. Defenders need systems which help provide visibility and altering across numerous security systems.

294 views • 15 slides

HMM-BASED PATTERN DETECTION

HMM-BASED PATTERN DETECTION. Image Processing and Reconstruction Winter 2002. Outline. Markov Process Hidden Markov Models Elements Basic Problems Evaluation Optimization Training Implementation 2-D HMM Application Simulation and Results. Markov Process.

246 views • 14 slides

Registration-Based Change Detection

Registration-Based Change Detection. Charles V. Stewart Department of Computer Science Rensselaer Polytechnic Institute. Change Mosaics.

129 views • 3 slides

Host-Based Intrusion Detection

CS 380S. Host-Based Intrusion Detection. Vitaly Shmatikov. Reading Assignment. Wagner and Dean. “Intrusion Detection via Static Analysis” (Oakland 2001). Feng et al. “Formalizing Sensitivity in Static Analysis for Intrusion Detection” (Oakland 2004).

716 views • 57 slides

CHROMOSOMAL ABNORMALITIES

CHROMOSOMAL ABNORMALITIES. By Dr Samina Anjum. CAUSES OF BIRTH DEFECTS & SPONTANEOUS ABORTIONS ARE Chromosomal abnormalities Genetic factors. INCIDENCE FOR MAJOR CHROMOSOMAL ABNORMALITIES.

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Rejection Based Face Detection

Rejection Based Face Detection. Michael Elad* Scientific Computing and Computational Mathematics Stanford University (Gates 282, phone: 723-7685, email: elad@sccm.stanford.edu ) May 13 th , 2002. * Collaboration with Y. Hel-Or and R. Keshet. Chapter 1 Problem Definition. Face Finder.

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Neuroimaging Detection of mTBI Abnormalities

Neuroimaging Detection of mTBI Abnormalities. Christine Mac Donald, PhD Assistant Professor Department of Neurological Surgery University of Washington School of Medicine Seattle, WA USA. Motivation for Research.

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Lung-based abnormalities detection solution

Lung-based abnormalities detection solution

Presentation Transcript

Structural Abnormalities

Electrolyte Abnormalities

Host – Based Intrusion Detection

Ultrasound Detection of the Chromosomal Abnormalities

Device-Based Therapy of Cardiac Rhythm Abnormalities

Metabolic Abnormalities

Erythrocyte Abnormalities

Lung cancer: Screening &amp; early detection

Network-Based Intrusion Detection

REPOLARIZATION ABNORMALITIES

REPOLARIZATION ABNORMALITIES

Detection, Visualization, and Identification of Lung Abnormalities in Chest Spiral CT Scans

Detection, Visualization, and Identification of Lung Abnormalities in Chest Spiral CT Scans

Metabolic Abnormalities

Early Detection of Lung Cancer &amp; Beyond

SIEM Based Intrusion Detection

HMM-BASED PATTERN DETECTION

Registration-Based Change Detection

Host-Based Intrusion Detection

CHROMOSOMAL ABNORMALITIES

Rejection Based Face Detection

Neuroimaging Detection of mTBI Abnormalities

Lung cancer: Screening & early detection

Early Detection of Lung Cancer & Beyond