# US 2025/0095342 A1 · Data processing apparatus, data processing method, and program > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0095342 A1 - Document ID: US20250095342A1 - Status: Published application - Kind: A1 - Application number: 18/962,197 - Filed: 2024-11-27 - Published: 2025-03-20 - Earliest claimed: 2022-06-07 - Assignees: FUJIFILM Corporation - Applicants: FUJIFILM Corporation - Inventors: Haruka IKEDA - Web page: https://patentgrep.com/patent/US20250095342A1 ## CPC - G06V 10/776: Validation; Performance evaluation - G01N 23/18: Investigating the presence of flaws defects or foreign matter - G06V 10/764: using classification, e.g. of video objects - G06V 10/774: Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting - G06V 2201/03: Recognition of patterns in medical or anatomical images - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q) ## Abstract The processor generates an inverted image obtained by inverting pixel values of a single-channel image that constitutes a first labeled training dataset, as training data of a second labeled training dataset obtained by augmentation of the first labeled training dataset. The single-channel image is an image of which the pixel values are determined in accordance with a physical quantity sensed by light-receiving elements during imaging or an image of which the pixel values are determined by reversible transform on the physical quantity. The processor generates an inverted label corresponding to the inverted image, as a ground truth label that constitutes the second labeled training dataset. The inverted label is generated based on a ground truth label of the single-channel image. The ground truth label of the single-channel image constitutes the first labeled training dataset. ## Claims ### Claim 1 A data processing apparatus comprising: a processor configured to: generate an inverted image obtained by inverting pixel values of a single-channel image that constitutes a first labeled training dataset, as training data of a second labeled training dataset obtained by augmentation of the first labeled training dataset, the single-channel image being an image of which the pixel values are determined in accordance with a physical quantity sensed by light-receiving elements during imaging or an image of which the pixel values are determined by reversible transform on the physical quantity; and generate an inverted label corresponding to the inverted image, as a ground truth label that constitutes the second labeled training dataset, the inverted label being generated based on a ground truth label of the single-channel image, the ground truth label of the single- channel image constituting the first labeled training dataset. ### Claim 2 (depends on 1) The data processing apparatus according to claim 1, wherein the single-channel image is an image captured by a digital detector array (DDA) that receives radiation transmitted through a photographic subject or a computed radiography (CR) captured image obtained by causing a reading device to output, as digital values, a received light signal from an imaging plate (IP). ### Claim 3 (depends on 1) The data processing apparatus according to claim 1, wherein the single-channel image is an image obtained by lens-free imaging. ### Claim 4 (depends on 1) The data processing apparatus according to claim 1, wherein each pixel of the single-channel image has a digital value proportional to an amount of received light at a corresponding light-receiving element among the light-receiving elements or a digital value correlated with the amount of received light. ### Claim 5 (depends on 1) The data processing apparatus according to claim 1, wherein each pixel of the single-channel image has a digital value correlated with the physical quantity at a corresponding point of a photographic subject. ### Claim 6 (depends on 1) The data processing apparatus according to claim 1, wherein the first labeled training dataset is selected such that in a case where the first labeled training dataset is augmented, the inverted label does not cause any contradiction. ### Claim 7 (depends on 1) The data processing apparatus according to claim 1, wherein the first labeled training dataset is selected such that in a case where the first labeled training dataset is augmented, the inverted label is effective for learning. ### Claim 8 (depends on 1) The data processing apparatus according to claim 1, wherein the processor is configured to: generate the inverted image by inverting the pixel values of a partial region of the single-channel image; and generate the inverted label as the ground truth label that constitutes the second labeled training dataset, based on a ground truth label of the single-channel image corresponding to the partial region. ### Claim 9 (depends on 1) The data processing apparatus according to claim 1, wherein the processor is configured to perform normalization or standardization on the training data. ### Claim 10 (depends on 1) The data processing apparatus according to claim 1, wherein the processor is configured to edit a class design of the ground truth label that constitutes the second labeled training dataset in response to setting the inverted image as the training data. ### Claim 11 (depends on 10) The data processing apparatus according to claim 10, wherein the processor performs, in the class design, class replacement in response to the setting of the inverted image as the training data. ### Claim 12 (depends on 11) The data processing apparatus according to claim 11, wherein the processor inverts the ground truth label to generate the inverted label in the class replacement. ### Claim 13 (depends on 1) The data processing apparatus according to claim 1, wherein the reversible transformation is at least one of linear transformation, logarithmic transformation, or non- linear transformation using a pixel value correspondence table. ### Claim 14 (depends on 1) The data processing apparatus according to claim 1, wherein the single-channel image is an image that has not undergone irreversible transformation. ### Claim 15 A data processing method comprising: performing, by a processor, a step of generating an inverted image obtained by inverting pixel values of a single-channel image that constitutes a first labeled training dataset, as training data of a second labeled training dataset obtained by augmentation of the first labeled training dataset, the single-channel image being an image of which the pixel values are determined in accordance with a physical quantity sensed by light-receiving elements during imaging or an image of which the pixel values are determined by reversible transform on the physical quantity; and a step of generating an inverted label corresponding to the inverted image, as a ground truth label that constitutes the second labeled training dataset, the inverted label being generated based on a ground truth label of the single-channel image, the ground truth label of the single-channel image constituting the first labeled training dataset. ### Claim 16 (depends on 15) The data processing method according to claim 15, wherein the processor performs, in a class design of the ground truth label that constitutes the second labeled training dataset, class replacement in response to setting the inverted image as the training data. ### Claim 17 (depends on 16) The data processing method according to claim 16, wherein the processor inverts the ground truth label to generate the inverted label in the class replacement. ### Claim 18 (depends on 15) The data processing method according to claim 15, wherein the single-channel image is an image that has not undergone irreversible transformation. ### Claim 19 (depends on 15) A non-transitory, computer-readable tangible recording medium on which a program for causing, when read by a computer, a processor of the computer to execute the data processing method according to claim 15 is recorded.