Informasi Umum

Kode

22.21.435

Klasifikasi

610.28 - Biomedical Engineering

Jenis

Buku - Elektronik (E-Book)

Subjek

Biomedical Engineering

No. Rak

11b

Dilihat

4 kali

Informasi Lainnya

Abstraksi

This new volume discusses state-of-the-art deep learning techniques and approaches that can be applied in biomedical systems and health informatics. Deep learning in the biomedical field is an effective method of collecting and analyzing data that can be used for the accurate diagnosis of disease.

This volume delves into a variety of applications, techniques, algorithms, platforms, and tools used in this area, such as image segmentation, classification, registration, and computer-aided analysis. The editors proceed on the principle that accurate diagnosis of disease depends on image acquisition and interpretation. There are many methods to get high resolution radiological images, but we are still lacking in automated image interpretation. Currently deep learning techniques are providing a feasible solution for automatic diagnosis of disease with good accuracy. Analyzing clinical data using deep learning techniques enables clinicians to diagnose diseases at an early stage and treat patients more effectively.

Chapters explore such approaches as deep learning algorithms, convolutional neural networks and recurrent neural network architecture, image stitching techniques, deep RNN architectures, and more. This volume also depicts how deep learning techniques can be applied for medical diagnostics of several specific health scenarios, such as cancer, COVID-19, acute neurocutaneous syndrome, cardiovascular and neuro diseases, skin lesions and skin cancer, etc.

Koleksi & Sirkulasi

Tersedia 1 dari total 1 Koleksi

Anda harus log in untuk mengakses flippingbook

Pengarang

Nama E. Golden Julie, PhD, Y. Harold Robinson, PhD, S. M. Jaisakthi, PhD
Jenis Perorangan
Penyunting
Penerjemah

Penerbit

Nama Apple Academic Press
Kota USA
Tahun 2022

Sirkulasi

Harga sewa IDR 0,00
Denda harian IDR 0,00
Jenis Non-Sirkulasi

Download / Flippingbook

diunduh 4 kali