We look forward to working with you to provide the best service to your patients.

573-364-0122

573-364-0123

 

10101 Stoltz Drive
Rolla, MO 65401

  • White Facebook Icon
  • White Google+ Icon

© 2017 by Stoecker & Associates. Created with Wix.com

 

Research & Technology

Here at S&A Tech we are invested in pushing the envelope, daring to create in innovative ways. We are a dedicated team of Engineers, Scientists and Medical Professionals working with the University of Missouri and Southern Illinois University school systems to advance medical information technology

On this page you will find past, present, and future research being conducted by our labs. In addition, we would like to highlight the members of our research group and their works.

Recent Publications

October 13, 2017

Structured zinc oxide dressing for secondary intention wounds

A.L. Gao, Justin G. Cole, Zachary Woolsey, William V. Stoecker

July 14, 2017

Fuzzy Color Clustering for Melanom Diagnosis in Dermoscopy Images

March 17, 2017

Addressing the Crisis in the Treatment of Osteoporosis: Better Paths Forward

February 17, 2017

Automatic Separation of Basal Cell Carcinoma from Benign Lesions in Dermoscopy Images with Border Thresholding Techniques

February 10, 2017

NOT RECLUSE—A Mnemonic Device to Avoid False Diagnoses of Brown Recluse Spider Bites

February 10, 2017

Adaptable Ring for Vision-Based Measurements and Shape Analysis

January 26, 2017

Real-world Pill Segmentation based on Superpixel Merge using Region Adjacency Graph

January 20, 2017

Nuclei Segmentation using a Level Set Active Contour Method and Spatial Fuzzy C-means Clustering

November 01, 2014

Extreme pain from brown recluse spider bites: model for cytokine-driven pain.

January 01, 2020

Nuclei-Based Features for Uterine Cervical Cancer Histology Image Analysis With Fusion-Based Classification.

December 30, 2016

Enhancements in localized classification for uterine cervical cancer digital histology image assessment.

Guo P, Almubarak H, Banerjee K, Stanley RJ, Long R, Antani S, Thoma G, Zuna R, Frazier SR, Moss RH, Stoecker WV.

September 07, 2016

Computer-aided classification of melanocytic lesions using dermoscopic images: Low reported accuracy for reader study on melanomas with low melanoma in situ to invasive melanoma ratio.

June 01, 2016

Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy.

Please reload

Our Researchers

The man behind the company.

Dr. William V. Stoecker, MD

Dr. Randy H. Moss

Professor of Electrical & Computer Engineering

Dr. Joe R. Stanley

Professor of Electrical & Computer Engineering

 
 

Be in Touch

We want to hear from you!

Tel: 573-364-0122 | Fax: 573-364-0123

10101 Stoltz Dr., MO 65401

  • Black Facebook Icon
  • Black Google+ Icon