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Syed Arsal Ahmad

FAST · 2023 · i19-1878

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Phone

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GitHub

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Academic

Program

BSCS

CGPA

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Year

2023

Education

SEECS

Address

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DOB

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Career

Current role

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Target role

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Skills

Python, PyTorch, OpenCV, Flask, Flutter, MySQL, BootStrap, Tensorflow, JavaScript

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.

MitCount: Website & App
Research and Development Project in which extensive research has been done on finding the Mitotic Count, which is the number of Mitotic Cells, within a Histopathological Image. Mitotic Count can help lead to finding the Mitotic Rate, which is the rate at which the mitotic count increases. This is an important element in evaluating the Prognosis of Cancer. Website and App, both will be only for use for Doctors. Comparative Analysis has been done using several deep learning techniques on datasets created using various colour segmentations. Pathologists will be able to upload histopathological image for each patient through the website to get an estimate of how many mitotic cells are present in the image alongside the predicted locations of those cells.

Website Features:
- Upload Histopathological Image to get Mitotic Count
- Storage of each patient’s information over time
- Sharing of patient information between doctors

App Features:
- Doctor will be able to check Patient histories on mobiles

Technology Used:
Python, PyTorch, OpenCV, Flask, Flutter, MySQL, BootStrap, Tensorflow, JavaScript
Supervisor Name:
Dr. Ahmad Raza Shahid
Co-Supervisor Name:
Dr. Khubaib Amjad Alam
Group Members:
Syed Arsal Ahmad (i19 - 1878)
Muhammad Bilal (i19 - 0670))
Hanan Ali (i19 - 2172)

AI enrichment

Syed Arsal Ahmad is a BSCS graduate who developed a web and mobile application for doctors to estimate mitotic cell counts in histopathological images using deep learning. The project involved comparative analysis of deep learning techniques and utilized technologies such as Python, PyTorch, Flask, and Flutter.

Skills (AI)

["Python", "PyTorch", "OpenCV", "Flask", "Flutter", "MySQL", "Bootstrap", "TensorFlow", "JavaScript", "Deep Learning", "Image Processing"]

Status: ai_done

Provenance

Source file: FAST - School of Computing -Graduate Directory-2023.pdf
From job #14 page 444
Created: 1778170171