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Sub module #3885

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Module #3841: Development

Lung Cancer Detection

Added by Seenia Francis about 1 year ago. Updated about 1 year ago.

Status:
New
Priority:
Normal
Assignee:
Shamil Ahammed E A
Start date:
07/01/2025
Due date:
% Done:

100%

Estimated time:
17:00 h
Spent time:
17:00 h
Planned Due Date:

Subtasks 4 (3 open — 1 closed)

Activity #3886: Do a detailed literature study on Lung cancer detection and present on 8th JulyClosedShamil Ahammed E A07/01/2025

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Activity #3907: Download the LIDC dataset and analyze and visualize itIn ProgressShamil Ahammed E A07/09/2025

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Activity #3950: Read all - 1011 dicom files and create an excel file with folder name, studyid, seriesid, shape, scpacingNewShamil Ahammed E A07/11/2025

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Activity #3951: Read the xml files and creat an excel with xml filepath, and its entriesNewShamil Ahammed E A07/11/2025

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 #1

Updated by Seenia Francis about 1 year ago

  • Tracker changed from Activity to Sub module
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 #2

Updated by Seenia Francis about 1 year ago

  • Subtask #3886 added
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 #3

Updated by Seenia Francis about 1 year ago

  • Subtask #3907 added
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 #4

Updated by Shamil Ahammed E A about 1 year ago

  • Estimated time set to 17:00 h

I have reviewed over 30 research papers on lung tumor segmentation, gaining a comprehensive understanding of various deep learning models and their specific strengths. I also explored a range of data preprocessing techniques and identified several publicly available datasets relevant to lung tumor segmentation tasks.

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 #5

Updated by Seenia Francis about 1 year ago

  • Subtask #3950 added
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 #6

Updated by Seenia Francis about 1 year ago

  • Subtask #3951 added
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