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Computer Methods and Programs in Biomedicine, Volume 156
Volume 156, March 2018
- Chung-Ming Lo, Yu-Chuan (Jack) Li

:
Machine learning based cancer detection using various image modalities. 1
- Ilhan Ilhan

:
Smart blood pressure holter. 1-12
- Mattia Savardi, Alessandro Ferrari, Alberto Signoroni

:
Automatic hemolysis identification on aligned dual-lighting images of cultured blood agar plates. 13-24
- Nisreen I. R. Yassin, Shaimaa Omran, Enas M. F. El Houby

, Hemat Allam:
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review. 25-45
- Stephane Chauvie

, Elisa Bertone, Fabrizio Bergesio, Alessandra Terulla, Davide Botto
, Piergiorgio Cerello
:
Automatic liver detection and standardised uptake value evaluation in whole-body Positron Emission Tomography/Computed Tomography scans. 47-52
- Charalambos Strouthopoulos, George Anifandis:

An automated blastomere identification method for the evaluation of day 2 embryos during IVF/ICSI treatments. 53-59 - Yangyang Ding, Xin Ma, Youqing Wang:

Health status monitoring for ICU patients based on locally weighted principal component analysis. 61-71
- Qinghua Huang, Xianhai Huang, Longzhong Liu

, Yidi Lin, Xingzhang Long, Xuelong Li
:
A case-oriented web-based training system for breast cancer diagnosis. 73-83
- José Antonio Pérez-Carrasco

, Begoña Acha
, Cristina Suárez-Mejías
, Jose Luis Lopez-Guerra, Carmen Serrano
:
Joint segmentation of bones and muscles using an intensity and histogram-based energy minimization approach. 85-95
- Francesco Cenni

, Simon-Henri Schless
, Lynn Bar-On
, Erwin Aertbeliën
, Herman Bruyninckx, Britta Hanssen
, Kaat Desloovere
:
Reliability of a clinical 3D freehand ultrasound technique: Analyses on healthy and pathological muscles. 97-103
- Mohammad R. Hasan, Naeemul Hassan

, Rayan Khan, Young-Tae Kim, Samir M. Iqbal:
Classification of cancer cells using computational analysis of dynamic morphology. 105-112
- Anna Pidnebesna

, David Tomecek
, Jaroslav Hlinka
:
BRAD: Software for BRain Activity Detection from hemodynamic response. 113-119 - Mogens Erlandsen, Christoffer Martinussen, Claus Højbjerg Gravholt:

Integrated model of insulin and glucose kinetics describing both hepatic glucose and pancreatic insulin regulation. 121-131
- Agnese Sbrollini

, Angela Agostinelli, Ilaria Marcantoni
, Micaela Morettini
, Luca Burattini
, Francesco Di Nardo
, Sandro Fioretti, Laura Burattini:
eCTG: an automatic procedure to extract digital cardiotocographic signals from digital images. 133-139 - Fernando Vaquerizo-Villar

, Daniel Álvarez
, Leila Kheirandish-Gozal, Gonzalo C. Gutiérrez-Tobal
, Verónica Barroso-García
, Andrea Crespo
, Félix del Campo, David Gozal, Roberto Hornero
:
Utility of bispectrum in the screening of pediatric sleep apnea-hypopnea syndrome using oximetry recordings. 141-149 - Zhenglong Sun

, Luc Marechal
, Shaohui Foong
:
Passive magnetic-based localization for precise untethered medical instrument tracking. 151-161
- Nora Attallah, Mohamed Khalifa

, Ashraf El Metwally, Mowafa S. Househ
:
The prevalence and usage of mobile health applications among mental health patients in Saudi Arabia. 163-168
- Anirban Mitra, Sudipta Roy

, Somasis Roy, Sanjit Kumar Setua:
Enhancement and restoration of non-uniform illuminated Fundus Image of Retina obtained through thin layer of cataract. 169-178 - Jingchi Jiang, Jing Xie, Chao Zhao, Jia Su, Yi Guan, Qiubin Yu:

Max-margin weight learning for medical knowledge network. 179-190 - João Otávio Bandeira Diniz

, Pedro Henrique Bandeira Diniz, Thales Levi Azevedo Valente, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva
, Marcelo Gattass:
Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks. 191-207 - Min Liu, Xueping Wang, Hongzhong Zhang:

Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach. 209-215
- Cyrielle Dumont, Giulia Lestini, Hervé Le Nagard, France Mentré

, Emmanuelle Comets
, Thu Thuy Nguyen:
PFIM 4.0, an extended R program for design evaluation and optimization in nonlinear mixed-effect models. 217-229

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