Procesamiento-fotoacustica-deteccion-de-Cancer

Generate waveform images from audio files on iOS, macOS & visionOS in Swift. Native SwiftUI & UIKit views.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Planning for an entire maths LaTeX book

Anything can happen in the next half hour (including spectral timing made easy)!

Differentiable and accelerated spherical transforms with JAX

Chromaprint/AcoustID audio fingerprinting for the JVM

This application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.

This CNN is capable of diagnosing breast cancer from an eosin stained image. This model was trained using 400 images. It has an accuracy of 80%

An implementation of the Fourier Transform using Python

A web app demonstrating how the Fourier series can be used to approximate user-inputted line drawing – visualised with animations of epicycles.