The task of the challenge was to detect locations of hair follicles in closeup images of a human scalp. The proposed solution is based on a convolutional neural ...

A convolutional NN (CNN) was developed to detect hair follicles in scalp dermoscopy images with significant differences in skin and hair color, 33 and a deep ...

A solution to ESENSEI data mining challenge concerning the analysis of microscopic hair images based on a convolutional neural network architecture is ...

In this paper, a solution to ESENSEI data mining challenge concerning the analysis of microscopic hair images is described. The task of the challenge was to ...

The task of the challenge was to detect locations of hair follicles in closeup images of a human scalp. The proposed solution is based on a convolutional neural ...

The task of the challenge was to detect locations of hair follicles in closeup images of a human scalp. The proposed solution is based on a convolutional neural ...

Dataset enhancement in hair follicle detection: ESENSEI challenge. Jan F. Jakubik. January 2018. PDF Cite DOI. Type. Conference paper. Publication. Position ...

The task of the challenge was to detect locations of hair follicles in closeup images of a human scalp. The proposed solution is based on a convolutional neural ...

Apr 6, 2023 · In 2018, there was a competition to locate the position of hair follicles, and a team used a method to enhance the accuracy of detection.

Music emotion analysis using semantic embedding recurrent neural networks ... Dataset Enhancement in Hair Follicle Detection: ESENSEI Challenge. J Jakubik.