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PRODID:IEEE vTools.Events//EN
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TZID:America/Los_Angeles
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DTSTART:20230312T030000
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DTSTART:20231105T010000
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BEGIN:VEVENT
DTSTAMP:20230426T021649Z
UID:3C7F3352-575E-4C93-B8C9-E54C32EC3D87
DTSTART;TZID=America/Los_Angeles:20230425T180000
DTEND;TZID=America/Los_Angeles:20230425T190000
DESCRIPTION:To treat the diseases or injuries of the joints\, bones\, muscl
 es\, and spine in both adult and pediatric imaging 2-D musculoskeletal rad
 iographs bring a significant depth of expertise. Various machine learning 
 processes have played a significant role in medical image classification a
 nd abnormality detection from musculoskeletal radiographs. Other 2-D image
 s are utilized for Tuberculosis and COVID-19 detection. Many Networks\, su
 ch as Densenet\, Resnet\, Inception v3\, and Capsnet architecture will be 
 explained here for musculoskeletal radiographs abnormality detection and o
 ther life-threatening diseases detection. Such computer-based automatic de
 tection of abnormality and diseases is time-saving\, and more accurate thu
 s creating a huge impact on the community and humanity.\n\nSpeaker(s): Cel
 ia Shahnaz\, \n\nVirtual: https://events.vtools.ieee.org/m/355949
LOCATION:Virtual: https://events.vtools.ieee.org/m/355949
ORGANIZER:upalmahbub@yahoo.com
SEQUENCE:4
SUMMARY:2-D Biosignal Processing for Automation in Disease detection based 
 on Deep Neural Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/355949
X-ALT-DESC:Description: <br /><p><span style="font-weight: 400\;">To treat 
 the diseases or injuries of the joints\, bones\, muscles\, and spine in bo
 th adult and pediatric imaging 2-D musculoskeletal radiographs bring a sig
 nificant depth of expertise. Various machine learning processes have playe
 d a significant role in medical image classification and abnormality detec
 tion from musculoskeletal radiographs. Other 2-D images are utilized for T
 uberculosis and COVID-19 detection. Many Networks\, such as Densenet\, Res
 net\, Inception v3\, and Capsnet architecture will be explained here for m
 usculoskeletal radiographs abnormality detection and other life-threatenin
 g diseases detection. Such computer-based automatic detection of abnormali
 ty and diseases is time-saving\, and more accurate thus creating a huge im
 pact on the community and humanity.</span></p>
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