# Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics

arXiv: https://arxiv.org/abs/1608.02989 · HTML: https://mlsanity.com/paper/1608.02989/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Aug 2016.

## Built on by (most cited first, 6 of 6)

- [Parasitic Egg Detection and Classification in Low-cost Microscopic Images using Transfer Learning](https://mlsanity.com/paper/2107.00968/) (2021)
- [ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results](https://mlsanity.com/paper/2208.06063/) (2022)
- [An overview of deep learning in medical imaging](https://mlsanity.com/paper/2202.08546/) (2022)
- [Low-Power Hardware-Based Deep-Learning Diagnostics Support Case Study](https://mlsanity.com/paper/2209.01507/) (2022)
- [AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder](https://mlsanity.com/paper/2303.05789/) (2023)
- [Energy-Efficient Eimeria Parasite Detection Using a Two-Stage Spiking Neural Network Architecture](https://mlsanity.com/paper/2601.00806/) (2025)

## Abstract (arXiv)

Point of care diagnostics using microscopy and computer vision methods have been applied to a number of practical problems, and are particularly relevant to low-income, high disease burden areas. However, this is subject to the limitations in sensitivity and specificity of the computer vision methods used. In general, deep learning has recently revolutionised the field of computer vision, in some cases surpassing human performance for other object recognition tasks. In this paper, we evaluate the performance of deep convolutional neural networks on three different microscopy tasks: diagnosis of malaria in thick blood smears, tuberculosis in sputum samples, and intestinal parasite eggs in stool samples. In all cases accuracy is very high and substantially better than an alternative approach more representative of traditional medical imaging techniques.