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Dental Classification

The project aims to develop an engine that can automatically detect & remove rubber stamp from scanned/captured document images.. There are many challenging that we have to cope with in this project. For example, no any standards for rubbers so far (e.g. the variety of rubber shapes, colors) or especially dealing with both scanned and captured images are also a big challenging. After trying several methods and considering between two important metrics (accuracy and performance), we finally deployed YOLOv3 for object detection step and making use of K-means scikit-learn and OpenCV for output generation.

Pneumonia Detection

The project aims to build an algorithm to detect a visual signal for pneumonia in medical images. Specifically, the algorithm needs to automatically locate lung opacities on chest radiographs. The dataset size is set around 23,124 images while the validation size is 2,560 images. To solve the problem, we built our own U-Net with the enhancement of resblock to improve the accuracy of the algorithm. The result based testing dataset (1000 images) is very positive (f2 score ~0.2)



Heligate was informed to be awarded as one among the prominent IT vendors in the year 2020

Imitsu is one of the most famous IT Business Matching Site in Japan, who has a widely known reputation with the huge network in IT sector.


Technical Lead - Expired

Recruit 01 Technical Lead (Web full stack) Working in Hanoi At Heligate HO: #14 Me Tri Thuong, Nam Tu Liem


Software Development in Vietnam 2020 - An Overview

Vietnam is already a popular software outsourcing destination. The 2019 A.T. Kearney Global Services Location Index rated Vietnam as the 5th most attractive outsourcing location in the world.