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Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance
We propose deep depth from focal stack (DDFS), which takes a focal stack as input of a neural network for estimating scene depth. Defocus blur is a...
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Focal stack based light field salient object detection via 3D–2D convolution hybrid network
Due to the remarkable ability to capture both spatial and angular information of the scene, light field imaging provides abundant cues and...
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Histo-Quartic Graph and Stack Entropy-Based Deep Neural Network Method for Brain and Tumor Segmentation
Among the various types of cancer disease, a brain tumor is one of the most common causes of death; because the cerebrum is an extremely delicate,...
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The Extended Technology Stack of Web 3.0
Chapter 2 explored the essential technologies needed for Web 3.0, which are crucial not only for Web 3.0 but also for the metaverse. With the arrival...
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Reinforcement learning from constraints and focal entity shifting in conversational KGQA
The actual needs of users for information are often hidden in multiple question answering (QA) on the same topic. In order to generate answers to...
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Deriving Perfect Reconstruction Filter Bank for Focal Stack Refocusing
This paper presents a digital refocusing method that transforms the captured focal stack directly into a new focal stack under different focus...
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CACBL-Net: a lightweight skin cancer detection system for portable diagnostic devices using deep learning based channel attention and adaptive class balanced focal loss function
Accurate skin disease detection is one of the most challenging tasks due to high-class imbalance and limited labeled datasets. Recently Deep...
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FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images
Computed Tomography (CT) based precise prostate segmentation for treatment planning is challenging due to (1) the unclear boundary of the prostate...
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Super-Focus: Domain Adaptation for Embryo Imaging via Self-supervised Focal Plane Regression
In recent years, the field of embryo imaging has seen an influx of work using machine learning. These works take advantage of large microscopy...
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FocalErrorNet: Uncertainty-Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery
In brain tumor resection, accurate removal of cancerous tissues while preserving eloquent regions is crucial to the safety and outcomes of the...
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Fast medical concept normalization for biomedical literature based on stack and index optimized self-attention
Medical concept normalization aims to construct a semantic map** between mentions and concepts and to uniformly represent mentions that belong to...
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Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors
Focal-plane Sensor-processors (FPSPs) are a camera technology that enable low power, high frame rate computation, making them suitable for edge...
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Depth from Focus using Windowed Linear Least Squares Regressions
We present a novel depth from focus technique. Following prior work, our pipeline starts with a focal stack and an estimation of the amount of...
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React Deployment: MERN Stack
In this chapter, we will continue where we left off in the previous chapter and complete our development cycle by publishing our working app and API...
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An improved neural network-based saliency detection scheme for light field images
In this paper, we propose a class weight-optimized Convolutional Neural Network (CNN) architecture for light field all-in-focus image-based saliency...
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Dynamic Fusion Network for Light Field Depth Estimation
Focus-based methods have shown promising results for the task of depth estimation in recent years. However, most existing focus-based depth...
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Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
Human visual system relies on both binocular stereo cues and monocular focusness cues to gain effective 3D perception. In computer vision, the two...
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Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing
Hyperspectral imaging (HSI) captures a greater level of spectral detail than traditional optical imaging, making it a potentially valuable...
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Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space
Though modern microscopes have an autofocusing system to ensure optimal focus, out-of-focus images can still occur when cells within the medium are...
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Computational 3D topographic microscopy from terabytes of data per sample
We present a large-scale computational 3D topographic microscope that enables 6-gigapixel profilometric 3D imaging at micron-scale resolution across...
