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Machine Learning-Based Analysis of Sperm Videos and Participant Data for
  Male Fertility Prediction

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

29 October 2019
Steven A. Hicks
J. M. Andersen
O. Witczak
Vajira Thambawita
Pål Halvorsen
Hugo Lewi Hammer
Trine B. Haugen
Michael A. Riegler
ArXiv (abs)PDFHTML

Papers citing "Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction"

4 / 4 papers shown
Title
VISEM-Tracking, a human spermatozoa tracking dataset
VISEM-Tracking, a human spermatozoa tracking dataset
Vajira Thambawita
Steven A. Hicks
A. Storaas
T. Nguyen
J. M. Andersen
O. Witczak
Trine B. Haugen
Hugo Lewi Hammer
Pål Halvorsen
Michael A. Riegler
63
30
0
06 Dec 2022
A Machine Learning Framework for Automatic Prediction of Human Semen
  Motility
A Machine Learning Framework for Automatic Prediction of Human Semen Motility
Sandra Ottl
Shahin Amiriparian
Maurice Gerczuk
Björn Schuller
38
0
0
16 Sep 2021
Predicting Semen Motility using three-dimensional Convolutional Neural
  Networks
Predicting Semen Motility using three-dimensional Convolutional Neural Networks
Priyansi
Biswaroop Bhattacharjee
Junaid Rahim
20
5
0
08 Jan 2021
Sperm Detection and Tracking in Phase-Contrast Microscopy Image
  Sequences using Deep Learning and Modified CSR-DCF
Sperm Detection and Tracking in Phase-Contrast Microscopy Image Sequences using Deep Learning and Modified CSR-DCF
Mohammad Reza Mohammadi
Mohammad Rahimzadeh
Abolfazl Attar
42
12
0
11 Feb 2020
1